{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "960ceacb-3c3f-484c-95b9-172bd009b1a4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is a generic code for drawing a state's Home Districts for neutral map estimation\n",
      "In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\n"
     ]
    }
   ],
   "source": [
    "#  THIS IS THE PRIMARY VERSION TO USE FOR ALL STATES  #See MO for orig 2/10/24.  This one from MN 4-19-24\n",
    "print(\"This is a generic code for drawing a state's Home Districts for neutral map estimation\") #Jan'24\n",
    "print(\"In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\")\n",
    "import shapely\n",
    "from shapely.geometry import Point, LineString, Polygon\n",
    "from shapely.ops import nearest_points, transform\n",
    "from shapely.affinity import translate, scale\n",
    "import geopandas as gpd\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from numpy import random\n",
    "from scipy.stats import norm\n",
    "from scipy.optimize import minimize, minimize_scalar\n",
    "import math\n",
    "import time\n",
    "import ast\n",
    "# from HDmethods import *   #I want to implement this, but my HDmethods require shapely functions\n",
    "# see https://stackoverflow.com/questions/66877728/proper-way-to-use-import-when-calling-external-function for a future workaround\n",
    "\n",
    "dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "#handy function for plotting Polygon or multiPolygon tracts and precincts\n",
    "def plotPoly(inputPoly,LW=1):\n",
    "    dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "    if inputPoly.geom_type == dummyPoly.geom_type:\n",
    "        x,y = inputPoly.exterior.xy\n",
    "        plt.plot(x,y,lw=LW)\n",
    "    else:\n",
    "        for geom in inputPoly.geoms:\n",
    "            if geom.area > 0:  #to avoid error with LineString geom parts\n",
    "                x,y = geom.exterior.xy\n",
    "                plt.plot(x,y,lw=LW)  \n",
    "def plotCenter(t,geom,FONTSIZE=10):\n",
    "    plt.text(geom.centroid.x,geom.centroid.y,t,ha='center',fontsize=FONTSIZE)\n",
    "    \n",
    "def r3(number):\n",
    "    result = round(number,3)\n",
    "    return result\n",
    "\n",
    "def r5(number):\n",
    "    result = round(number,5)\n",
    "    return result\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2ab4a3d5-f4e7-4aec-b81c-0e786cd35b57",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def getWeightedAvgAndSD(LIST, WEIGHTS):  #from IN\n",
    "    nWeights = len(WEIGHTS)\n",
    "    normWeights = [WEIGHTS[i] / np.sum(WEIGHTS) for i in range(nWeights) ]\n",
    "    AVG = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        AVG += normWeights[i] * value\n",
    "    sumVar = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        sumVar += normWeights[i] * (value - AVG)**2\n",
    "    SD = sumVar ** 0.5     #don't need to normalize again since weights were normalized\n",
    "    return AVG, SD\n",
    "\n",
    "def squish(shapeList, cutLINE, farLINE, newFarLINE):\n",
    "    \"\"\"\n",
    "    This method compresses a list of shapes lying between the cutLINE and the farLINE)\n",
    "    such that the Polygons now lie between the cutLINE and the newFarLINE, which is closer to the cutLINE\n",
    "    Used to compress state outcroppings into a more compact state representation.\n",
    "     (I tried doing this point by point (see #'s), but this overdistorted geometries.)\n",
    "      (#This was a manual alternative to shapely.affinity.scale and .translate operations)\n",
    "       So instead, we run this AFTER established untransformed map topology, and \n",
    "        we simply scale and translate each unit.  This loses true connectivity.\n",
    "        Scaling is all lengths scale by compression of distance\n",
    "    The cut, far, and newFar LineString segments are preferably parallel\n",
    "    The method returns the modified shapes of all pollys\n",
    "    \"\"\"\n",
    "    if cutLINE.intersects(farLINE) or cutLINE.intersects(newFarLINE):\n",
    "        print(\"cutLine,farLine, newFarLine were\",cutLINE, farLINE, newFarLINE)\n",
    "        raise Exception(\"ERROR: the proposed cutLine intersects the current or proposed far line\")\n",
    "    newPollys = list()\n",
    "    for polly in shapeList:\n",
    "        pollyCP = polly.centroid\n",
    "        cutPt =     nearest_points(cutLINE,   pollyCP)[0]\n",
    "        farPt =     nearest_points(farLINE,   pollyCP)[0]\n",
    "        newFarPt =  nearest_points(newFarLINE,pollyCP)[0]\n",
    "        curr_cutX, curr_cutY =            pollyCP.x - cutPt.x, pollyCP.y -  cutPt.y\n",
    "        currFar_CutX , currFar_CutY  =    farPt.x - cutPt.x, farPt.y   -  cutPt.y\n",
    "        new_currFarX, new_currFarY =      newFarPt.x - farPt.x, newFarPt.y - farPt.y\n",
    "        newFar_CutX,  newFar_CutY =       newFarPt.x - cutPt.x, newFarPt.y   -  cutPt.y\n",
    "        distanceRatio = newFarPt.distance(cutPt)/farPt.distance(cutPt) #scale area ^length^2\n",
    "        XOFF,YOFF = 0., 0.\n",
    "        XFACT, YFACT = 1., 1.  #default = no stretch\n",
    "        # basic equation: (new-cut)/(curr-cut) = (newFar-cut)/(currFar - cut)\n",
    "        #  or: (new-curr)  = (curr-cut)*(newFar-currFar)/(currFar - cut)   # -1 to both sides\n",
    "        if currFar_CutX != 0:\n",
    "            XOFF =  curr_cutX * new_currFarX / currFar_CutX\n",
    "            XFACT =              newFar_CutX / currFar_CutX\n",
    "        if currFar_CutY != 0:\n",
    "            YOFF =  curr_cutY * new_currFarY / currFar_CutY\n",
    "            YFACT =              newFar_CutY / currFar_CutY\n",
    "        newPolly = translate(polly,xoff=XOFF,yoff=YOFF)\n",
    "        newPolly = scale(newPolly, xfact=XFACT, yfact=YFACT, origin='centroid')\n",
    "        newPollys.append( newPolly )       \n",
    "    return newPollys\n",
    "\n",
    "def getHDcp(TRACTCP,TRACTPOP, TRACTLIST, SPLITTRACTNO = -777,SPLITTRACTUSE = 1.):  #population centerpoint of a Home District or county (cluster)\n",
    "    cpx, cpy, sumPop = 0.,0., 0.\n",
    "    for tt in TRACTLIST:\n",
    "        USE = 1.\n",
    "        if tt ==    SPLITTRACTNO:\n",
    "            USE =   SPLITTRACTUSE\n",
    "        sumPop += USE*TRACTPOP[tt]\n",
    "        cpx +=    USE*TRACTPOP[tt] * TRACTCP[tt].x\n",
    "        cpy +=    USE*TRACTPOP[tt] * TRACTCP[tt].y\n",
    "    HDCP_ = Point(cpx/sumPop, cpy/sumPop)\n",
    "    return HDCP_\n",
    "\n",
    "#  The below four methods are TO SNAP to HD SHAPES without any solving / iteration\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    The optional xScale parameter is the ratio of longitude to latitude lengths scales (<<1 for far from equator)\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def buildPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a 4-tri polygon from four HD wedges emanating from the centerpoint\n",
    "    Pt = [Point(0,0)]*12                      #xScale has same meaning as in buildWedge\n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW]  #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ]  \n",
    "        Pt[nW*2] =   Point(CP.x + RADII[nW]/XSCALE*math.cos(ccwAngle), CP.y + RADII[nW]*math.sin(ccwAngle) )\n",
    "        Pt[nW*2+1] = Point(CP.x + RADII[nW]/XSCALE*math.cos( cwAngle), CP.y + RADII[nW]*math.sin( cwAngle) )        \n",
    "    POLLY = Polygon([Pt[0],Pt[1],Pt[2],Pt[3],Pt[4],Pt[5],Pt[6],Pt[7] ])\n",
    "    return POLLY\n",
    "\n",
    "def buildArcPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a fuller polygon from four HD wedges emanating from the centerpoint\n",
    "    twoPi = 2. * 3.1415926   #xScale has same meaning as in buildWedge\n",
    "    POINTS = list()                   \n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW] % twoPi                 #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ] % twoPi \n",
    "        midAngle = [0.75*ccwAngle + 0.25*cwAngle , 0.25*ccwAngle + 0.75*cwAngle ]  #avoid s sampling cone center for wide angles\n",
    "        if abs (ccwAngle - cwAngle) > 3.1415926 :  #angles straddle angle=0\n",
    "            midAngle = [0.75*(ccwAngle - twoPi) + 0.25*cwAngle , 0.25*(ccwAngle -twoPi) + 0.75*cwAngle ]\n",
    "        angList = [ccwAngle] + midAngle + [cwAngle]\n",
    "        for ang in angList:\n",
    "            POINTS.append(Point(CP.x + RADII[nW]/XSCALE*math.cos(ang), CP.y + RADII[nW]*math.sin(ang) ) )\n",
    "                          \n",
    "    POLLY = Polygon(POINTS)\n",
    "    return POLLY\n",
    "\n",
    "def getPolyPop(POLLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points contained by a polygon\n",
    "    WPOP, WLIST = 0., list()\n",
    "    for tt in CANDIDATELIST:\n",
    "        if POLLY.contains(TRACTCP[tt]):\n",
    "            WPOP += TRACTPOP[tt]\n",
    "            WLIST.append(tt)\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonCPP(POLLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county in getPolyPop\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if POLLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonHCunits(POLLY, HC, UNITLIST, UNITCP, UNITPOP, ALLFUSEDCOUNTIES, AREAFRAC, COUNTYGEOM, \n",
    "                  NEIGHBORCOUNTYLIST, COUNTYUNITLIST):\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"unit counties\" are added as whole units if a sufficient area fraction is captured.  For non-unitCs, we probe each component vtd / tract\n",
    "    \"\"\"\n",
    "    UPOP, ULIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county before we called this method\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        #1/9/24 - DO WE NEED TO MODIFY THE ORDER BELOW TO AVOID CREATING HOLES AND ENCLAVES ??  #\n",
    "        \n",
    "        for c in latestClist:\n",
    "            for cc in list( set(NEIGHBORCOUNTYLIST[c]).difference(set(ALLFUSEDCOUNTIES)) ):\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        if cc+0.5 in UNITLIST:\n",
    "                            if POLLY.intersection(COUNTYGEOM[cc]).area >=  AREAFRAC[cc] * COUNTYGEOM[cc].area :\n",
    "                                intersectedClist.append(cc)   #for unit counties, intersections count only if they capture sufficient area\n",
    "                                newClist.append(cc)\n",
    "                                UPOP += UNITPOP[UNITLIST.index(cc+0.5)]\n",
    "                                ULIST.append( UNITLIST.index(cc+0.5) )\n",
    "                        else:                           \n",
    "                            intersectedClist.append(cc)\n",
    "                            newClist.append(cc)\n",
    "                            if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                                unitsToAdd = COUNTYUNITLIST[cc]\n",
    "                                UPOP += np.sum(  [ UNITPOP[uu] for uu in unitsToAdd ]  )\n",
    "                                ULIST += unitsToAdd\n",
    "                            else:\n",
    "                                for uu in COUNTYUNITLIST[cc]:\n",
    "                                    if POLLY.contains(UNITCP[uu]):\n",
    "                                        UPOP += UNITPOP[uu]\n",
    "                                        ULIST.append(uu)\n",
    "        latestClist = newClist.copy()\n",
    "        \n",
    "    return UPOP, ULIST\n",
    "\n",
    "def clusterSwell(CP_, CCBgeom, CCBpop, allUnits, unitCP, unitPop, unitNbrs, borderUnits, TGTPOP):\n",
    "    \"\"\"\n",
    "    This method grows a Home District by \"swelling\" from a corner county cluster.  First, we add the full cluster,\n",
    "     then we add closest neighbor units to the home district centerpoint CP_ until we reach the TGTPOP\n",
    "     new for MN 4/7/24 - don't enforce contiguity here -- too slow -- fix in cleanup stage instead\n",
    "     \"\"\"\n",
    "    hd_CCBdist = [CP_.distance(geo) for geo in CCBgeom]\n",
    "    CCBno = hd_CCBdist.index(np.min(hd_CCBdist))  #ID's the closest cluster to this HD center.  Should contain the HD, but rarely will not\n",
    "    unitNo = allUnits.index(CCBno+0.25)\n",
    "    newList, prevList, addedList, addedPop = [unitNo], [unitNo], [unitNo], unitPop[unitNo]  #seed with the cluster pop and unit\n",
    "    while addedPop < 0.99 * TGTPOP and len(newList) > 0:\n",
    "        tryList = getAdjoiners(addedList,unitNbrs)\n",
    "        tryDist = [ CP_.distance(unitCP[UU]) for UU in tryList ]\n",
    "        idx = np.argsort(tryDist)\n",
    "        idxNo, newList = 0, list()\n",
    "        haveNotAdded = True\n",
    "        while idxNo < len(tryList) and haveNotAdded:\n",
    "            UU = tryList[idx[idxNo]]\n",
    "            if unitPop[UU] + addedPop < 1.01 * TGTPOP :  #and wontEnclave(UU, addedList, unitNbrs, borderUnits) :  #we'll post-fix contig'y\n",
    "                newList.append(UU)\n",
    "                addedList.append(UU)\n",
    "                addedPop += unitPop[UU]\n",
    "                haveNotAdded = False\n",
    "            idxNo +=1\n",
    "        prevList = newList.copy()\n",
    "        \n",
    "    return addedPop, addedList\n",
    "            \n",
    "def getFakeHC(HDPOLLY, HC, CCBlist, countyGeom, MAP) :\n",
    "    \"\"\"\n",
    "    This method is for setting a fake home county for counties in corner clusters, so that county neighbors can be found budding from the \"home county\"\n",
    "    We pick the county in the cluster closest to the map center and intersecting the HDpoly.  This will be an active county on the cluster boundary   \n",
    "    \"\"\"\n",
    "    MAPcenter = MAP.centroid\n",
    "    for L in CCBlist:\n",
    "        if HC in L:\n",
    "            distList, cList = list(), list()\n",
    "            for C in L:\n",
    "                if HDPOLLY.intersects(countyGeom[C]):\n",
    "                    distList.append(countyGeom[C].distance(MAPcenter))\n",
    "                    cList.append(C)\n",
    "    fakeHC = cList[distList.index(np.min(distList)) ]\n",
    "    return fakeHC\n",
    "\n",
    "def getLongDist(CP1, CP2, xScale = 1.0): #distance between two points with EW distance scaled down by latitude\n",
    "    #LAT = MAP.centroid.y\n",
    "    #xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "    dist = ( xScale*xScale * (CP1.x - CP2.x)*(CP1.x - CP2.x)  +  (CP1.y - CP2.y)*(CP1.y - CP2.y) ) **0.5 \n",
    "    return dist\n",
    "\n",
    "# THESE ARE THE METHODS USED IN SOLVING HD SHAPES\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def getCountyWP(T, WEDGEPOLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points in a wedge excluding a point\n",
    "        WPOP, WLIST = 0., list()\n",
    "        for tt in CANDIDATELIST:\n",
    "            if tt != T and WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                WPOP += TRACTPOP[tt]\n",
    "                WLIST.append(tt)\n",
    "        return WPOP, WLIST\n",
    "\n",
    "def getNonCWP(WEDGEPOLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by an infinite polygonal wedge for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def isIncludedA(STARTa, ENDa, TESTa): #determines if a test angle is between a start and end angle (True)\n",
    "    \"\"\"\n",
    "    The start angle must be less than the end angle when placed on the [0, 2 pi] interval  (ccw convention)\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    STARTa, ENDa, TESTa = STARTa % (2.*pi), ENDa % (2.*pi), TESTa % (2.*pi)  #place on the 2pi interval\n",
    "    isIncludedA = False\n",
    "    if STARTa  > ENDa :  #included angle straddles east\n",
    "        if   TESTa  >= STARTa or TESTa < ENDa :  #near-east between the two\n",
    "            isIncludedA = True\n",
    "    else:\n",
    "        if TESTa >= STARTa and TESTa < ENDa :  #normal case\n",
    "            isIncludedA = True\n",
    "    return isIncludedA\n",
    "\n",
    "def getNonCWP_c(STARTANGL, ENDANGL, HC, TRACTCP,TRACTPOP,COUNTYGEOM,COUNTYPOP,COUNTYTRACTLIST,\n",
    "                                    NEIGHBORCOUNTYLIST, UUDIST, UUANGLE, WEDGEPOLY) :\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a polygonal wedge for counties contiguous with the Home County (no hop-overs),\n",
    "    EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    Unlike its getNonCWP vanilla parent, this one uses angles rather than infinite wedges for units (still wedges for counties)\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if isIncludedA(STARTANGL, ENDANGL, UUANGLE[tt]): #WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getExitAngle(CP,WEDGEPOLY, MAP, A0, A1):\n",
    "    \"\"\"\n",
    "    This code determines the orientation angle from a CenterPoint to the intersection of a wedge with an exterior boundary\n",
    "    If an intersection is not found, we just take the average angle of the wedge start/stop angles A0, A1 as this orientation angle\n",
    "    MAP must be a single polygon for this to work in the revised code (tho could run thru all polygons in MAP if a multipolygon)\n",
    "    \"\"\"\n",
    "    EXITANGLE = 0.5* (A0 + A1) #this will be the angle from the x-axis to the exit beeline\n",
    "    if WEDGEPOLY.intersects(MAP.exterior):\n",
    "        edgeLine = WEDGEPOLY.intersection(MAP.exterior) #true state boundary line where wedge crossed it\n",
    "        closePoint = nearest_points(edgeLine,CP)[0]\n",
    "        dx = closePoint.x - CP.x       #this and below lines were indented in original code***\n",
    "        dy = closePoint.y - CP.y\n",
    "        EXITANGLE =  pi/2. * np.sign(dy)  #default in case dx=0\n",
    "        if (dx != 0. ):\n",
    "            EXITANGLE = math.atan(dy/dx) + random.uniform(-0.01,0.01) #add wiggle to avoid exact NESW orientation in gridded states\n",
    "            if dx < 0. :  #use complementary atan solution; boundary is west of tract centroid\n",
    "                EXITANGLE = pi + EXITANGLE\n",
    "    return EXITANGLE # this reorients 0th wedge to face boundary's closest point\n",
    "\n",
    "def getNewAngles(mWP, tWP, ADP, LEVEL_L, MINADJRATIO, MAXANGLE, MAXANGLERATIO, nUNFILLEDWEDGES): \n",
    "    \"\"\"\n",
    "    This method classifies Home Districts based on how their post-reoriented equi-angle max wedge pops stack up vs targets,\n",
    "     then changes wedge angles in some situations to pick up more population along the boundary\n",
    "    If there is one wedge that will fall short of a quarter district pop, then we adjust angles if it is sufficiently short    \n",
    "    (Using \"HD2\" code, the opposite wedge's pop will be constrained as well.)\n",
    "    If there are two opposite-facing constrained wedges, we do not adjust angles\n",
    "    If there are two adjacent constrained wedges, we classify as a corner (no angle change) if the adjacent wedge is sufficiently constrained,\n",
    "      otherwise we treat as a single constrained wedge\n",
    "    If there are three constrained wedges, the angles are unchanged; we use the 4th wedge to pick up all pop\n",
    "    If all four wedges are constrained, there is an error and we raise a flag.\n",
    "    mWP is the quadlist of maxWedgePops we would get by extending each wedge to the MAP boundary\n",
    "    tWP is the quadlist of targetWedgePops\n",
    "    LEVEL_L is the non-dimensional distance to the boundary at which we no longer adjust wedge angles to drive more near-boundary pop\n",
    "    MAXANGLERATIO is the max ratio of the wide angle (facing the boundary) to the normal angle (e.g. 90deg for four wedges) ...\n",
    "    but this is truncated near-boundary to MAXANGLE (e.g. 1.8 pi/2 instead of increasing all the way to 1.9 pi/2)\n",
    "      NOTE THAT this code does not consider nearly-shorted wedges -- those are a separate method called later if all mWP's > tWP's\n",
    "    \"\"\"   \n",
    "    isChange = False   #default; we are NOT changing angles\n",
    "    printDebuggg = False\n",
    "    NWEDGES = len(mWP)\n",
    "    avgWedgeAngle = 2.*math.pi / NWEDGES\n",
    "    minW = mWP.index(np.min(mWP))  #index of the wedge with the lowest max wedge pop\n",
    "    oppW = int( int(minW + NWEDGES/2) % NWEDGES )  #and its opposing wedge\n",
    "    Lstar = ( mWP[minW] / (0.25*ADP) )**0.5  #shortest wedge's nondim'l distance to boundary\n",
    "    \n",
    "    case = \"keep same wedge angles\" #default; no unfillable wedges or all but one are unfillable\n",
    "    if nUNFILLEDWEDGES >= NWEDGES:\n",
    "        raise Exception(\"ERROR! ALL WEDGES ARE CONSTRAINED for tract\",t,\".  IMPOSSIBLE!!\")\n",
    "    if nUNFILLEDWEDGES == 1:\n",
    "        case = \"constrain opp wedge\"\n",
    "        if Lstar >= levelL :\n",
    "            case = \"keep same wedge angles\"  #not close enough to boundary to distort HD shape\n",
    "    if nUNFILLEDWEDGES == 0 or nUNFILLEDWEDGES == NWEDGES - 1:  #far from boundary or with only one wedge w/large pop\n",
    "        case = \"keep same wedge angles\"   \n",
    "    if nUNFILLEDWEDGES == 2:  #must determine if opposite or adjacent           \n",
    "        if mWP[oppW] < tWP[oppW]:  #shorted wedges oppose each other, so ...\n",
    "            case = \"keep same wedge angles\" #...the HD shape will naturally widen to pick up adjacent pop\n",
    "        else:  #we have 2 adjacent (non-opposing) shorted wedges... but how shorted?  ID the adjacent wedge\n",
    "            for nW in range(NWEDGES):\n",
    "                if mWP[nW] < tWP[nW] and nW != minW :\n",
    "                    adjW = nW  #this is the adjacent wedge\n",
    "                    adjRatio = mWP[adjW] / tWP[adjW]\n",
    "            if adjRatio < minAdjRatio:  #we're close to a corner (this adjacentWedge is significantly constrained)\n",
    "                case = \"keep same wedge angles\"\n",
    "                if printDebuggg :\n",
    "                    print(\"Not adjusting wedge angles for tract\",t,\"as 2nd-sparsest wedge\",adjW,\"has pop\",mWP[adjW] )\n",
    "            else:\n",
    "                case = \"constrain opp wedge\"  #we will set the angles and target pops as if the adj wedge were not constrained\n",
    "    \n",
    "    if case == \"keep same wedge angles\":\n",
    "        isChange = False\n",
    "        WEDGEANGLE = [avgWedgeAngle for w in range(NWEDGES) ]\n",
    "\n",
    "    if case == \"constrain opp wedge\":  #Here, we modify wedge angles.  MWP's will be recalc'd outside the method\n",
    "        isChange = True  \n",
    "        wideAngle = min(MAXANGLE, avgWedgeAngle*max(  1,( 1.+(MAXANGLERATIO-1.)*(LEVEL_L - Lstar)/(LEVEL_L - 0.) )  ) )\n",
    "        WEDGEANGLE = [(2.*pi - 2. * wideAngle)/ (NWEDGES - 2.) for w in range(NWEDGES) ]  \n",
    "        WEDGEANGLE[minW] = wideAngle\n",
    "        WEDGEANGLE[oppW] = wideAngle\n",
    "    \n",
    "    return isChange, WEDGEANGLE\n",
    "\n",
    "def rebalanceTWPs(MWP, TWP, BARREDLIST=list()):\n",
    "    \"\"\"\n",
    "    This method iteratively increases targetWedgePops to accommodate wedges that have maxWedgePop < targetWedgePop.\n",
    "    The wedgePop gap is distributed equally among wedges that have some capacity and are not BARRED (e.g. an opposite wedge in HD2 method)\n",
    "     (If this pushes some wedges over capacity, this will be fixed in a later run through loop inside this method)\n",
    "    We also flag which wedges \"will fill\" = have sufficient capacity after the rebalancing of the targets to not use the entire maxWedgePoly\n",
    "    \"\"\"\n",
    "    DEBUGrTWP = False\n",
    "    NWEDGES = len(MWP)\n",
    "    unorderedCapacity = [MWP[w] - TWP[w] for w in range(NWEDGES) ]\n",
    "    idx = np.argsort(unorderedCapacity)\n",
    "    #for nn in range(NWEDGES):\n",
    "    #    print(MWP[idx[nn]])\n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        for nn in range(NWEDGES):\n",
    "            print(\"barred list, orig MWP, TWP\",BARREDLIST, r3(MWP[nn]),r3(TWP[nn]) )\n",
    "    \n",
    "    for nn in range(NWEDGES):  #going from least to most maxWedgePop here ...\n",
    "        nW = idx[nn]\n",
    "        if MWP[nW] < TWP[nW]: #need to redistribute extra target to higher-capacity wedges ...\n",
    "            wedgePopGap = TWP[nW] - MWP[nW]\n",
    "            TWP[nW] = MWP[nW]  #max out this wedge\n",
    "            nReceivers = 0.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....\n",
    "                    nReceivers += 1.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....                    \n",
    "                    TWP[WW] += wedgePopGap / nReceivers  #... so give it equal share of the gap, even if this goes over; we'll correct in later loop\n",
    "                    \n",
    "    WILLFILL = [1]*NWEDGES\n",
    "    for nW in range(NWEDGES):\n",
    "        if MWP[nW] < 1.001* TWP[nW]:  #required pop nearly or truly requires the entire wedge\n",
    "            WILLFILL[nW] = 0 \n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        print(\"adjusted TWP's are\",TWP)\n",
    "    return TWP, WILLFILL\n",
    "\n",
    "def solveWedge(nontractTWP,t, hC, STARTANGLE, ENDANGLE, MAXD, TOLERPOPS, tractCP, tractPop,\n",
    "               countyTractList, countyGeom, countyPop, neighborCountyLIST,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    #### NO LONGER USED; SEE FASTER SOLVEWEDGEB BASED ON UNIT-UNIT DISTANCES  *********\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop (which excludes the home tractPop)\n",
    "    The wedge has a fixed starting and ending angle.  Its maximum diameter is angle-related to max diameter of the state map\n",
    "    It uses bisection, NOT scipy minimize to minimize the square error in the wedge pop vs. target\n",
    "    The method passes back the final wedge pop and list of tracts in the wedge\n",
    "    \"\"\"\n",
    "    chgLoopNo, maxLoopNo = 10., 22.  #when we will start relaxing the pop tolerance, and when we give up\n",
    "    includedAngl = ENDANGLE - STARTANGLE\n",
    "    guessedR = MAXD / math.cos(0.5*includedAngl)  #max possible wedge radius, accounting for possible wide angle\n",
    "    popTol = TOLERPOPS[0]  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    #                      We loosen toward half the MAX tractPop if not converging\n",
    "    \n",
    "    offsetPop = 88888888.  #to force a reduction the first time through the loop\n",
    "    dr = guessedR\n",
    "    loopNo = 0\n",
    "    while abs(offsetPop) > popTol and loopNo < maxLoopNo:\n",
    "        loopNo +=1\n",
    "        popTol = max(TOLERPOPS[0], TOLERPOPS[0] + (TOLERPOPS[1] - TOLERPOPS[0]) * (loopNo - chgLoopNo) / (maxLoopNo - chgLoopNo) )\n",
    "        dr = 0.5*dr\n",
    "        guessedR -= dr*np.sign(offsetPop)\n",
    "        \n",
    "        guessedPoly = buildWedge(tractCP[t],STARTANGLE, ENDANGLE, guessedR,XSCALE) \n",
    "        iCP, iClist =  getCountyWP(t,guessedPoly, tractCP, tractPop, countyTractList[hC])\n",
    "        nonCP, nonClist = getNonCWP(guessedPoly, hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyLIST)\n",
    "        offsetPop = iCP + nonCP - nontractTWP\n",
    "        #print(t,loopNo,r5(guessedR),int(iCP),int(nonCP),r3(offsetPop+nontractTWP),r3(nontractTWP),\"t,loop,R,iCP,nonCP,pop,target\")\n",
    "        if loopNo >= maxLoopNo-1:\n",
    "            print(\"WARNING. Looped\",loopNo,\"times for t,angles,R\",t,r3(STARTANGLE),r3(ENDANGLE),r5(guessedR),\n",
    "                  \"wedgePop offset, target are\",int(offsetPop), int(nontractTWP) )    \n",
    "    finalPop = iCP + nonCP\n",
    "    finalList = iClist + nonClist\n",
    "    return finalPop, finalList, guessedR, loopNo\n",
    "\n",
    "#above = bisection.  Below solveWedgeB uses static unit-unit distances\n",
    "# Also tried scipy minimize, which doesn't seem any faster\n",
    "\n",
    "def solveWedgeB(nontractTWP,T, HC, POLLY, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that intersect,\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2x2 array\n",
    "    \"\"\"\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    \n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList = 0, 0, list()\n",
    "    notFull = True\n",
    "    while notFull :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist    \n",
    "\n",
    "def solveWedgeC(nontractTWP,T, HC, POLLY, STARTANGL, ENDANGL, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST, UUANGLE):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that\n",
    "    fall within the angle range (in lieu of wedgeB's check for intersection),\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2D array\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    STARTANGL, ENDANGL = STARTANGL % (2.*pi), ENDANGL % (2.*pi)\n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList, latestDist = 0, 0, list(), 0.00001  #dummy value\n",
    "    notFull = True\n",
    "    while notFull and i < len(UUDIST) - 2 :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if isIncludedA(STARTANGL, ENDANGL, UUANGLE[TT]) : #POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist \n",
    "\n",
    "\n",
    "def getPartialTract(t, HDTRACTLIST, offsetPop, UUDIST, tractPop, neighborLIST):\n",
    "    \"\"\"\n",
    "    If offsetPop is >0, this method identifies the tract with centroid farthest from Home t that can jettison at least offsetPop ...\n",
    "    ... by slicing out part of this tract.\n",
    "    If offsetPop <0, we ID a tract CLOSEST to Home t among neighbors of in-HD tracts to pick up a partial\n",
    "    We return the tractID and its new partial use\n",
    "    We have updated this method to pass the uuDist slice for tract t instead of computing tract distances inside here\n",
    "    \"\"\"\n",
    "    debugGPT = False\n",
    "    NTRACTS = len(tractCP)\n",
    "    bigDist = 9999999.\n",
    "    qualifyingTractList = list()\n",
    "    isWholeTract = False\n",
    "    if offsetPop > 0:\n",
    "        homeDist = [0.]*NTRACTS  #default = 0 to not get picked\n",
    "        for TT in HDTRACTLIST:\n",
    "            if tractPop[TT] > offsetPop:\n",
    "                qualifyingTractList.append(TT)\n",
    "        for TT in qualifyingTractList:\n",
    "            homeDist[TT] = UUDIST[TT]\n",
    "        if len(qualifyingTractList) == 0:  #very rare case where all in-HD tracts are too small.  Jettison nearly the whole farthest one\n",
    "            isWholeTract = True\n",
    "            for TT in HDTRACTLIST:\n",
    "                if tractPop[TT] > 0.9*np.average(tractPop): #set arbitrary min qualifying pop\n",
    "                    homeDist[TT] = UUDIST[TT]\n",
    "        targetT = homeDist.index(np.max(homeDist))\n",
    "        partialUseFrac = max(0.0001,(tractPop[targetT] - offsetPop)/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(\"positive offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    else: #pick up a partial\n",
    "        homeDist = [bigDist]*NTRACTS\n",
    "        for TT in HDTRACTLIST:\n",
    "            for TTT in neighborList[TT]:\n",
    "                if TTT not in qualifyingTractList and TTT not in HDTRACTLIST and tractPop[TTT] > abs(offsetPop):\n",
    "                    qualifyingTractList.append(TTT)\n",
    "        for TTT in qualifyingTractList:\n",
    "            homeDist[TTT] = UUDIST[TTT]\n",
    "        if len(qualifyingTractList) == 0 :  #rare case where most nearby tracts are small.  Add nearly the whole biggest one\n",
    "            isWholeTract = True\n",
    "            maxPop = 0.\n",
    "            targetT = -999\n",
    "            for TT in HDTRACTLIST:\n",
    "                for TTT in neighborList[TT]:\n",
    "                    if TTT not in qualifyingTractList and TTT not in HDTRACTLIST : # we'll take just one, even if doesn't fill gap\n",
    "                        qualifyingTractList.append(TTT)\n",
    "            for TTT in qualifyingTractList:\n",
    "                if tractPop[TTT] > maxPop:\n",
    "                    targetT = TTT\n",
    "                    maxPop = tractPop[targetT]\n",
    "        else:\n",
    "            targetT = homeDist.index(np.min(homeDist))\n",
    "        partialUseFrac = min(0.9999, -1.* offsetPop/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(t,\"'s negative offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    \n",
    "    return targetT, partialUseFrac\n",
    "\n",
    "def getAdjoiners(UNITLIST, UNITNBRS): #returns all units that neighbor a UNITLIST but are not in the UNITLIST \n",
    "    allNbrs = list()\n",
    "    for U in UNITLIST:\n",
    "        allNbrs = allNbrs + UNITNBRS[U]\n",
    "    adjoiners = list( set(allNbrs).difference(set(UNITLIST)) )\n",
    "    return adjoiners\n",
    "\n",
    "def get2nbrs(ULIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    Get the combined list of first- and second-level neighbors of a LIST, using neighborList connectivity.  Excludes the source list\n",
    "    \"\"\"\n",
    "    firstList =  getAdjoiners(ULIST, UNITNBRS)\n",
    "    secondList = getAdjoiners(firstList, UNITNBRS)\n",
    "    twoLevelList = list( set(firstList + secondList).difference(set(ULIST) ) )\n",
    "    return twoLevelList\n",
    "\n",
    "def getContigFromStarter(starter, VLIST, NEIGHBORLIST):  #all contiguous units in VLIST, starting from starter unit\n",
    "    foundList, newList, prevList = [ starter ], [ starter ], [ starter ]\n",
    "    while len(newList) > 0:\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()        \n",
    "    return foundList   \n",
    "\n",
    "def isContiguous(VLIST,NEIGHBORLIST,returnBiggestPiece=False):\n",
    "    \"\"\"\n",
    "    This method determines if all items in a list form a continuous chain of neighbors based on the passed neighborlist\n",
    "    Empty lists are considered contiguous.  If discontiguous, a less-than-majority piece list is returned,\n",
    "     unless giveBig=True, in which case we return the biggest piece\n",
    "    \"\"\"    \n",
    "    isUnbroken, newList, foundList = True, list(), list()\n",
    "    if len(VLIST) > 0:\n",
    "        foundList, newList, prevList = [ VLIST[0] ], [ VLIST[0] ], [ VLIST[0] ]\n",
    "    while len(newList) > 0:  #this round's list of neighbors\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()      \n",
    "    pickedPieceList = foundList.copy()  #default contiguous sublist to pass back to main\n",
    "    \n",
    "    if len(foundList) < len(VLIST):  #not contiguous\n",
    "        isUnbroken  = False\n",
    "        pieceLists, remainingList = [foundList], list( set(VLIST).difference(set(foundList) ) )\n",
    "        if returnBiggestPiece == True:  #we were asked for the biggest piece, not a random small one, so we must find them all\n",
    "            if len(foundList) < 0.5*len(VLIST):\n",
    "                while len(remainingList) > 0:\n",
    "                    newList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                    pieceLists.append(newList)\n",
    "                    remainingList = list(set(remainingList).difference(set(newList)))\n",
    "                pieceLengths = [len(pL) for pL in pieceLists]\n",
    "                pickedPieceList = pieceLists[ pieceLengths.index(np.max(pieceLengths)) ]\n",
    "            \n",
    "        else: #quickly return a contiguous sub-list that's at most half the total units in the list\n",
    "            if len(foundList) > 0.5*len(VLIST): #pick a different piece; this one is the majority\n",
    "                pickedPieceList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                \n",
    "    return isUnbroken, pickedPieceList\n",
    "\n",
    "def enclaveCheck(UNITLIST,UNITNBRS,maxLoops=4):\n",
    "    \"\"\"\n",
    "    This method determines if a list of units has an unbroken boundary AND whether its complement has an unbroken boundary\n",
    "    If the complement boundary is broken, there is an enclave or the district is so disconnected its adjoining units aren't contiguous\n",
    "    The method returns contiguity of boundary and of its adjoiners.  Also returns the lists of boundary and complement-boundary units\n",
    "      If either of these is broken, only a contiguous sublist is returned that is guaranteed to be smaller than half (for finding enclaves)\n",
    "      maxLoops is the number of loops for expanding neighbors-of-neighbors for contiguity of the units outside the passed unit-list\n",
    "    \"\"\"\n",
    "    UNITSET = set(UNITLIST)\n",
    "    ADJLIST =  get2nbrs(UNITLIST, UNITNBRS)  #in case direct adjoiners are only queen-adjacent\n",
    "    #adjoinersOfAdjoiners = getAdjoiners(ADJLIST,  UNITNBRS)\n",
    "    #BDRYLIST = list( set(UNITLIST).intersection(set(adjoinersOfAdjoiners)) )  #this might fail for queen-adjacent boundary units\n",
    "    BDRYLIST = list (set(get2nbrs(ADJLIST,UNITNBRS)).intersection(UNITSET) )  #in case inHD boundary is only queen-adjacent\n",
    "    noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)  \n",
    "    unbroken, smallPieceList = isContiguous(BDRYLIST, UNITNBRS)\n",
    "    if not unbroken: #could be that district's boundary intersects the state boundary or there is a nonHD enclave inside the HD\n",
    "        unbroken, smallPieceList = isContiguous(UNITLIST, UNITNBRS)  #slower check for full district, not just its boundary \n",
    "    nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "    while nLoops <= maxLoops and not noEnclave:\n",
    "        nLoops +=1\n",
    "        newSet = set(ADJLIST)\n",
    "        for UU in ADJLIST:\n",
    "            newSet = newSet.union( set(UNITNBRS[UU]).difference(UNITSET) )\n",
    "        ADJLIST = list(newSet)\n",
    "        noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)\n",
    "    #isJiggy = noEnclave and unbroken\n",
    "    return unbroken, noEnclave, smallPieceList, enclaveList\n",
    "\n",
    "def getBdryNonEdgers(UNITLIST, UNITNBRS): #all in-district boundary units that neighbor a non-district unit\n",
    "    ALLnonHDnbrs = set()\n",
    "    for UUU in UNITLIST:\n",
    "        ALLnonHDnbrs = ALLnonHDnbrs.union(set(UNITNBRS[UUU])).difference(set(UNITLIST))\n",
    "    BdryNonEdgerSet = set()\n",
    "    for UUU in UNITLIST:\n",
    "        if len(set(UNITNBRS[UUU]).intersection(ALLnonHDnbrs)) > 0:\n",
    "            BdryNonEdgerSet.add(UUU)\n",
    "    return list(BdryNonEdgerSet)\n",
    "\n",
    "def getEnclaveLists(UNITLIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    finds ALL units enclaved by a UNITLIST, parsed into lists of contiguous pieces\n",
    "    We assume the largest contiguous complement to the UNITLIST is not an enclave, but rather the majority of the HD complement\n",
    "    if the UNITLIST's complement (all couldBeEnclaved) is contiguous, the returned list will be blank\n",
    "    \"\"\"\n",
    "    eSets, nU = list(), len(UNITNBRS)\n",
    "    offmapList = list()\n",
    "    for i,L in enumerate(UNITNBRS):\n",
    "        if len(L) == 0:\n",
    "            offmapList.append(i)  #offmap list are units with no neighbors (were surrounded)\n",
    "    complementSet = set([i for i in range(nU)] ).difference( set(UNITLIST + offmapList) )    \n",
    "    remaining2nbrs = get2nbrs(UNITLIST, UNITNBRS)\n",
    "    \n",
    "    isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS) #quicker than contig check on entire complement\n",
    "    while not isContig:  #this will kick out before writing the final sublist = map majority\n",
    "        starter = shortList[0]\n",
    "        newEnclaveList = getContigFromStarter(starter, list(complementSet), UNITNBRS)\n",
    "        eSets.append(set(newEnclaveList))\n",
    "        remaining2nbrs = list(set(remaining2nbrs).difference(set(shortList)) )\n",
    "        isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS)\n",
    "        \n",
    "        # couldBeEnclaved = list( set(couldBeEnclaved).difference(set(newEnclaveList)) )  #revised 18-Feb-24 -- was slower\n",
    "    fused_eSets = set()\n",
    "    for i, eSet in enumerate(eSets):\n",
    "        fused_eSets = fused_eSets.union(eSet)\n",
    "        for j in range(i+1, len(eSets) ) :\n",
    "            eSets[j] = eSets[j].difference(eSet)  #in case contiguity occurs, but not in 2-neighbor list; avoid double-count\n",
    "    remnant_eSet = complementSet.difference(fused_eSets) \n",
    "    eLengths = [len(eSet) for eSet in eSets]\n",
    "    if len(eSets) > 0:\n",
    "        if len(remnant_eSet) < np.max(eLengths):  #exchange the small remnant for the biggest found \"enclave\" (usually the major complement) \n",
    "            eSets[eLengths.index(np.max(eLengths))] = remnant_eSet.copy()\n",
    "    eLists = [list(eSet) for eSet in eSets]\n",
    "    return eLists\n",
    "\n",
    "def wontEnclave(proposedU, dList, NBRLIST, mapBDRYLIST):\n",
    "    \"\"\"\n",
    "    This method checks if adding a proposedU to a dList (list of units in a district) will create an \"enclave\" of units in the dList's complement\n",
    "    via two problems:  A) the dList will now have a discontiguous set of units on the map boundary.  The full map boundary list is mapBDRYLIST\n",
    "      B) The non-dList neighbors of dList units aren't contiguous\n",
    "    The method doesn't require that the dList wontEnclave without the proposedU included; it just checks the proposedU + dList combination\n",
    "    It also doesn't check that the dList is itself contiguous with or without proposedU\n",
    "    In that sense, it is more limited than enclaveCheck\n",
    "    \"\"\"\n",
    "    wontEnclave = True\n",
    "    newList, newSet = dList + [proposedU], set(dList + [proposedU])\n",
    "    unitsOnBoundary = list( set(mapBDRYLIST).intersection(newSet) )\n",
    "    wontEnclave, __ = isContiguous(unitsOnBoundary,NBRLIST)  #first check - does district touch MAP boundary in multiple places? (quick FAIL)\n",
    "    if wontEnclave: #slower check below for internal enclaves\n",
    "        adjoiners = get2nbrs(newList, NBRLIST)  #2-level to protect for queen adjacency in boundary        \n",
    "        wontEnclave, __ = isContiguous(adjoiners,NBRLIST)\n",
    "        if not wontEnclave:\n",
    "            nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "            maxLoops, ADJLIST = 6, adjoiners #unlike enclaveCheck, here we just arbitrarily set a number of loops for search expansion\n",
    "            while nLoops <= maxLoops and not wontEnclave:\n",
    "                nLoops +=1\n",
    "                adjSet = set(ADJLIST)  #align nomenclature w enclaveCheck\n",
    "                for UU in ADJLIST:\n",
    "                    adjSet = adjSet.union( set(NBRLIST[UU]).difference(set(newList)) )\n",
    "                ADJLIST = list(adjSet)\n",
    "                wontEnclave, __ =   isContiguous(ADJLIST, NBRLIST)\n",
    "        \n",
    "    return wontEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "d041d328-83e0-45db-a869-e0956c23ee26",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the state postal code; e.g. OH  NC\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, enter 1 below to use nc_pl2020_vtd.dbf as this state's population data file\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "  1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempting to read in state unit geometries.  Stand by ...\n",
      "I read in the Census popn data. NC has 10439388 peeps and is divided into 2666 shapes.\n"
     ]
    }
   ],
   "source": [
    "STATE = str(input(\"Enter the state postal code; e.g. OH \")).upper()\n",
    "popFilename = STATE.lower()+\"_pl2020_vtd.dbf\"\n",
    "print(\"OK, enter 1 below to use\",popFilename,\"as this state's population data file\")\n",
    "enter1 = input(\" \")\n",
    "if int(enter1) != 1:\n",
    "    popFilename = input(\"OK, then enter the pop data file.  Typically a xx_pl2020_vtd.dbf\")\n",
    "print(\"attempting to read in state unit geometries.  Stand by ...\")\n",
    "tractPopFile = gpd.read_file(\"state_map_files/\"+popFilename)\n",
    "trueTractGeom = tractPopFile['geometry']\n",
    "nTracts = len(trueTractGeom)\n",
    "tractPop = tractPopFile['P0010001']\n",
    "statePop = np.sum(tractPop)\n",
    "censusGEOID20 = tractPopFile['GEOID20']\n",
    "print(\"I read in the Census popn data.\",STATE,\"has\",statePop,\"peeps and is divided into\",nTracts,\"shapes.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "3bfdea9d-b0ea-497a-a556-6b488a3e333e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the number of districts in the state.  My guess is 14 14\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 100 counties in NC .  I will assign them county Nos 0 - 99\n"
     ]
    }
   ],
   "source": [
    "tractGeom = trueTractGeom.copy()   #for some states, we will modify geom, so preserve original\n",
    "#tractNAME20 = tractPopFile['NAME20']\n",
    "tractPop = tractPopFile['P0010001']\n",
    "inputfileCountyNo = tractPopFile['COUNTYFP20']\n",
    "vtdGEOID20 =  tractPopFile['GEOID20'] \n",
    "nDistricts = int(round(statePop/760000,0))\n",
    "nCutDistricts = 0\n",
    "nDistricts = int(input(\"Enter the number of districts in the state.  My guess is \"+str(nDistricts)))\n",
    "tractArea = [tractGeom[t].area for t in range(nTracts)]\n",
    "trueTractCP =   [tractGeom[t].centroid for t in range(nTracts)]\n",
    "tractCP = trueTractCP.copy()  #for some states, we move secluded corners into the map, so save the true data\n",
    "tractCPx =  [tractCP[t].x for t in range(nTracts)]\n",
    "tractCPy =  [tractCP[t].y for t in range(nTracts)]\n",
    "inputCountyNumbers = list()\n",
    "for t in range(nTracts):\n",
    "    if inputfileCountyNo[t] not in inputCountyNumbers:\n",
    "        inputCountyNumbers.append(inputfileCountyNo[t])\n",
    "nCounties = len(inputCountyNumbers)\n",
    "print(\"There appear to be\",nCounties,\"counties in\",STATE,\".  I will assign them county Nos 0 -\",int(nCounties-1))\n",
    "sortedICNs = list(np.sort(inputCountyNumbers))\n",
    "countyNo = [sortedICNs.index(inputfileCountyNo[t]) for t in range(nTracts) ]\n",
    "\n",
    "isSkippedTract = [0] *nTracts  #this will house a temporary list of tracts for manipulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "adffc7a4-a78c-477f-8ea4-7f8e5109fa2a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now build the county-by-county geometries, hoping there are no islands\n",
      "Building county geom for county 0\n",
      "Building county geom for county 20\n",
      "Building county geom for county 40\n",
      "Building county geom for county 60\n",
      "Building county geom for county 80\n",
      "Here is your original county-based map b4 any triage; e.g eliminating coastal unpopulated tracts w pop < 4.5\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 0 unpopulated coastal tracts.  Lets plot them and their parent counties\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"We will now build the county-by-county geometries, hoping there are no islands\")\n",
    "skipList = list()  #a list of units we previously know to skip in the map\n",
    "isAlteredCounty = [False for c in range(nCounties)]\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "countyPop =       [0. for c in range(nCounties)]\n",
    "countyGeom =      [dummyPoly for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    if t not in skipList:\n",
    "        c = countyNo[t]\n",
    "        countyTractList[c].append(t)\n",
    "        countyPop[c] += tractPop[t]\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Building county geom for county\",c)\n",
    "    for t in countyTractList[c]:\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            countyGeom[c] = tractGeom[t]\n",
    "        else:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "origMAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    origMAP = origMAP.union(countyGeom[c])\n",
    "    if countyGeom[c] == dummyPoly:\n",
    "        print(\"WARNING! county\",c,\"is empty!\")\n",
    "    else:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "minTractPop = 4.5\n",
    "print(\"Here is your original county-based map b4 any triage; e.g eliminating coastal unpopulated tracts w pop <\",minTractPop)\n",
    "plt.show()\n",
    "if origMAP.geom_type == dummyPoly.geom_type:\n",
    "    mapExterior = origMAP.exterior\n",
    "else:\n",
    "    for i,geo in enumerate(origMAP.geoms):\n",
    "        if i == 0:\n",
    "            mapExterior = geo.exterior\n",
    "        else:\n",
    "            mapExterior = mapExterior.union(geo.exterior)\n",
    "\n",
    "for c in range(nCounties):\n",
    "    for t in countyTractList[c]:\n",
    "        if tractPop[t] < minTractPop:\n",
    "            if tractGeom[t].intersects(mapExterior):\n",
    "                isAlteredCounty[c] = True\n",
    "                skipList.append(t)\n",
    "print(\"There appear to be\",len(skipList),\"unpopulated coastal tracts.  Lets plot them and their parent counties\")\n",
    "for t in skipList:\n",
    "    plotPoly(tractGeom[t])\n",
    "    plotCenter(t,tractGeom[t],6)\n",
    "plotPoly(origMAP,0.2)\n",
    "for c in range(nCounties):\n",
    "    if isAlteredCounty[c]:\n",
    "        plotPoly(countyGeom[c])\n",
    "plt.show()\n",
    "trueMAP = origMAP  #use these terms interchangeably"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "7a6c93c4-af08-47d5-90f7-dc0b4513aad5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last chance to alter the skipList, otherwise the above 0 units will be axed\n",
      "here is the proposed skipList []\n",
      "here is the final skipList []\n"
     ]
    }
   ],
   "source": [
    "print(\"Last chance to alter the skipList, otherwise the above\",len(skipList),\"units will be axed\")\n",
    "print(\"here is the proposed skipList\", skipList)\n",
    "#skipList = [1939, 1364] #...  #alter here if needed - 1874, 1270, 1497, 1771 create contiguity problems if axed\n",
    "print(\"here is the final skipList\", skipList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "2989f381-466b-4882-bf1d-cfa37a7ba8ef",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now preserve the original county unit lists and geoms, then rebuild as needed\n",
      "Here is the revised state county map after eliminating coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Excellent!  We have no populated islands.  SKIP the below code block.\n",
      "we will scale longitudinal distance by 0.81379\n"
     ]
    }
   ],
   "source": [
    "print(\"I will now preserve the original county unit lists and geoms, then rebuild as needed\")\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "trueCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "for c in range(nCounties):\n",
    "    trueCountyTractList[c] = countyTractList[c].copy()\n",
    "    if isAlteredCounty[c]:\n",
    "        print(\"removing coastal units from countyNo\",c)\n",
    "        countyTractList[c] = list()\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in trueCountyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                countyTractList[c].append(t)\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            print(\"Uh oh! county\",c,\"didn't have any usable tracts\")\n",
    "MAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    plotPoly(countyGeom[c])\n",
    "    plotCenter(c,countyGeom[c])\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "origPopMAP = MAP   #origPopMAP is the map after eliminating coastal unpopulated tracts, with original islands\n",
    "print(\"Here is the revised state county map after eliminating coastal tracts\")\n",
    "plt.show()\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    print(\"Excellent!  We have no populated islands.  SKIP the below code block.\")\n",
    "else:\n",
    "    print(\"We appear to have some populated islands.  Separate out the main state geom in next block.\")\n",
    "LAT = MAP.centroid.y\n",
    "xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "print(\"we will scale longitudinal distance by\",r5(xScale))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8a562a21-4107-4a3c-a320-90442a473387",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\n",
      "unit 286 has island pieces.  We will reduce the tract to its main state component\n",
      "unit 292 has island pieces.  We will reduce the tract to its main state component\n",
      "unit 293 has island pieces.  We will reduce the tract to its main state component\n",
      "unit 294 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 3112 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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1E0xYGqGSJHi5arB1/jClQyEiImoxWx9MwdWaG6GSAFm29byUiIgcnV4WUNtwxsKEpREqSbL5BaOIiIhkWUBtw6MpmLA0QpIM1WhERES2TC+ETU9XwYSlESpJAluEiIjI1ullsIbFnqkkQ1ZKRERky2TBJiG7ZpjxVekoiIiIWkcvs0nIrtn6E0xERARUd7pVOoqWs+HQLUMI2PQwMCIiIqB6yRXb/TxjwtIIvY1PtENERARwlJDd09v4uHUiIqJqNpyvMGFpjLDxXtVERET2gAlLI/Ry0xYKJCIiIvNhwtIIvbDttReIiIjsAROWRrBJiIiISHlMWBqhlzlKiIiISGlMWBohC9tee4GIiMgeMGFphADXESIiIlIaE5ZGqCQJXPuQiIhIWUxYGqGSDNMZExERkXKYsDSCNSxERGQPJNh2f0wmLI2QJIk1LERERApjwtIINgkREREpjwlLI1SSBJn5ChERkaKYsDRCJRlmuyUiIiLlMGFphMQaFiIiIsUxYWmEip1uiYiIFMeEpRGGJiGloyAiInJsTFgawRoWIiIi5TFhaYTEGhYiIiLFMWFpBGtYiIjIHtj6Yr5MWBohceI4IiKyA3pZQKO23Y99243cQjhxHBER2TohBCr1AhqV7a4n1KqEZfny5ZAkCQsXLjRuGzlyJCRJqnGbO3dug+Xk5ubi0UcfRUhICNzd3TF+/HicOnWqNaGZDCeOIyIiW1f9xVvtiAlLQkICVq1ahejo6Fr7Zs+ejZycHOPt1VdfrbccIQSmTJmCM2fOYMuWLTh8+DDCw8MxZswYlJSUtDQ8k+HEcUREZOt0sgwAcFI7WMJSXFyMGTNmYPXq1Wjbtm2t/e7u7ggKCjLevL296y3r1KlTOHDgAFauXImBAwciIiICK1euRFlZGf73v/+1JDyTYqdbIiKydTq94XNMrbLdniCalpw0b948TJo0CWPGjMGyZctq7V+3bh3Wrl2LoKAg3HXXXXj22Wfh7u5eZ1larRYA4OrqatymUqng4uKCvXv34vHHH6/3vOpzAaCwsLAlD6VR1RPHxX9/AipJggRDEqOSAFT9NG6vqmqr3i9V7zOeZ6ixUUlABz8PjOjeziwxExER3UxX1VRgy31Ymp2wbNiwAUlJSUhISKhz/4MPPojw8HCEhIQgJSUFS5YsQVpaGjZt2lTn8ZGRkejQoQPi4uKwatUqeHh44K233sLFixeRk5NTbxzx8fF48cUXmxt+s/UI9ka3AE/8kHoJAoYRQ1U1a5CFgBBV2wQAGH7evB037RdV+3V6GU5qFdKWTTB7/ERERPqqhOXAmasoLtfV2FfXcOe6Ghb6dmiLiCAvs8TXFJJoRo/SzMxMDBgwADt27DD2XRk5ciRiYmKwYsWKOs/5+eefERsbi9OnT6NLly51HpOYmIhZs2bhyJEjUKvVGDNmDFQqFYQQ+P777+s8p64alrCwMBQUFDTYBGUN1h44jxe2HsPpf05UOhQiInIAZRV6DP3Xz8gvqWhxGXd088dnswaZMCqDwsJC+Pj4NPr53awalsTEROTl5aFfv37GbXq9Hnv27ME777wDrVYLtVpd45xBgwwPrqGEpX///khOTkZBQQEqKirQrl07DBo0CAMGDKg3FhcXF7i4uDQnfCIiIofk5qxG4tIxde6TpMabiZ7832FcLtI2epw5NSthiY2NxdGjR2tsmzlzJiIjI7FkyZJayQoAJCcnAwCCg4MbLd/HxweAoSPu77//jpdffrk54REREVE9mpKY1EfA0C9TSc1KWLy8vBAVFVVjm4eHB/z8/BAVFYWMjAysX78eEydOhJ+fH1JSUrBo0SIMHz68xvDnyMhIxMfHY+rUqQCAL774Au3atUOHDh1w9OhRLFiwAFOmTMHYsWNN8BCJiIioNYQQtpWwNMbZ2Rk7d+7EihUrUFJSgrCwMEyfPh1Lly6tcVxaWhoKCgqM93NycrB48WLk5uYiODgYDz/8MJ599llThkZEREQtZA2Te7Q6Ydm1a5fx97CwMOzevbvRc27t5/vkk0/iySefbG0oREREZA4CMEzQoRzbnUHGxllDtkpERNQUAso3CTFhUYDSTzqRPYqPj8fAgQPh5eWFgIAATJkyBWlpaTWOKS8vx7x58+Dn5wdPT09Mnz4dubm5CkVMZDuEaF2nXVNgwkJEdmH37t2YN28eDhw4gB07dqCyshJjx46tsSbZokWL8M033+CLL77A7t27kZ2djWnTpikYNZFtkIWA0pPkmrTTLRGRUrZv317j/scff4yAgAAkJiZi+PDhKCgowIcffoj169dj9OjRAICPPvoIPXr0wIEDB3D77bcrETaRTZCFYakZJbGGhYjsUvVIRF9fXwCGiS8rKysxZsyNybOqlwbZv3+/IjES2QphBTUsTFiIyO7IsoyFCxdi6NChxrmjLl26BGdnZ7Rp06bGsYGBgbh06ZICURLZDtkK+rCwSYiI7M68efOQmpqKvXv3Kh0KkV2QhYATm4QcUzPWnCSiZpg/fz6+/fZb/PLLLwgNDTVuDwoKQkVFBa5fv17j+NzcXAQFBVk4SiLbInMeFsek9JNOZI+EEJg/fz42b96Mn3/+GZ06daqxv3///nBycsJPP/1k3JaWloYLFy5g8ODBlg6XyKYIIaBSOGNgkxAR2YV58+Zh/fr12LJlC7y8vIz9Unx8fODm5gYfHx/MmjULixcvhq+vL7y9vfHXv/4VgwcP5gghokZYwzwsTFiIyC6sXLkSADBy5Mga2z/66CM8+uijAIC33noLKpUK06dPh1arxbhx4/Dee+9ZOFIi2yMLoXjbABMWIrILTekX5urqinfffRfvvvuuBSIiIlNiHxYiIiJqkCQpvwYeExaFKP3EExERNZUE5TMWJiwKcNGoIASg1emVDoWIiKhRshBQKTzVLRMWBThrDP/tFTpZ4UiIiIgaZw2LHzJhUUB1ouKiUSscCRERUeO4+KGDqtAbEhYntdKDxIiIiBonhIDC+QoTFiUYJuBRfhIeIiKiptDLgjUsREREZN1kAaiZsBAREZE1s4a1hJiwKEAoPZidHNa1kgquFE5EzSZzLSHHJAQUX5OBbIcQAoVluhsbbnrxVL9/3Px6qn5TqbkNOHmpCPe8vx8zBnXAS5OjzBYvEdkfaxjWzIRFAQLKZ6pkO576MgVfJl40WXmf7j+PeaO6ItDb1WRlEpF9s4ZOt0xYFMJ0hRpTVF6JZd+ewJeJF7FwTDdEBHoBqDk79s2tOzc3NVZvv7Xxp3ugJ8av+BV7T13B9P6h5gmciOyOsIJ5WJiwKIF9CKgRu9MvI+6rFBSUVeLV6dG4d2CYycruE9YGXydnMWGxc98dzcE7P58GUD2NgmE9GJVk2FD1A6qbfpcgARKgqvq9+rzqDyqpnvMACRN7B2FaP76m7JWhSYgJi8MxNAkpHQVZowqdjGe/TsXG3zNxRzd/xE/rjdC27ia9xoSoICz//iQe+zgBy6f3RoAXm4bs0S8n83ClWItxvYIgICCEoeMkqn4XwlArJ9/0O4Thg0mgepvhPqr2i+r9VfuEALKvl+F4TiE6t/NQ9PGSeclWMHEcExYFGDrdMmOh2v7z8yl8lXQR8dN64/6BYWbp6zTnjs5wc1Lj+a3HcP+qA/j5byNNfg1S3rXSCkS198HLU8zXwbpCJ2Payt/Q2d8DC8d0M9t1SHmGJiFlY+CwZgUIDhOiOly4WopVe87gzyO74IHbOpitY7ZKJRm/DWu4PITd8nJ1QkFZpVmvsWJnOk7mFGHF/TFwd+b3X3smoHwfFiYsChBgvkK1Ldt2HH4ezvjzyC5mv9bPJ/MAAPcN7GD2a5Eyugd6If1Skdnm3Tl45ipW7s7Aoju7Izq0jVmuQdbD0CTEhMUhKd0WSNZl76kr+PF4Lp6eEGmRb6qPDe0EAMaRR2R/NCoJRVod8ksqTF52QVklFn9+BAPDfTF3hPkTbFIe+7A4KA4Solt9cyQbXQM8cXefEItcT1XVGC3zxWi3vky8iKFd/eDr4Wzysp/bkorCskpsmHM71Ep3bCCLYB8WB2VoEuIfOd1wtaQCIW3cLFblWv3Gw4TFfslCoLxShlYnm7TcLclZ2JKcjZem9EKYr2lHsJH1sobBIq1KWJYvXw5JkrBw4ULjtpEjRxrG6t90mzt3boPlFBcXY/78+QgNDYWbmxt69uyJ999/vzWhWTVhBVVrZF2OZxegR7DlmmeqO88xX7Ffr0ztjdSsAsz+9HeUVehNUubFa6VY+nUq7uoTgikx7U1SJtkGYQVT87c4YUlISMCqVasQHR1da9/s2bORk5NjvL366qsNlrV48WJs374da9euxYkTJ7Bw4ULMnz8fW7dubWl4Vo/5ClWTZYHLxVp4uzpZ7JoSa1js3m2dfPHRowPx+7lrmPnxIZRodY2f1AC9LLD48yPwctFg2ZQoxTtgkmVZw+KHLUpYiouLMWPGDKxevRpt27attd/d3R1BQUHGm7e3d4Pl7du3D4888ghGjhyJjh07Ys6cOejTpw8OHTrUkvCsnrCCJ56sR3XKUFTeug+U5qiuYZGZr9i1IV398ems25BysQCvbj/ZqrJW7clAwrl8vHlfDHzcLJdck3Wwhk63LUpY5s2bh0mTJmHMmDF17l+3bh38/f0RFRWFuLg4lJaWNljekCFDsHXrVmRlZUEIgV9++QXp6ekYO3ZsvedotVoUFhbWuNkSpitUTS8LVOoFnDWW61J2I2FhxmLvBnb0xRPDu2D9oQvQ6lrWNJSaVYA3f0zHE8O74PbOfiaOkGyBbItrCW3YsAFJSUlISEioc/+DDz6I8PBwhISEICUlBUuWLEFaWho2bdpUb5n/+c9/MGfOHISGhkKj0UClUmH16tUYPnx4vefEx8fjxRdfbG74VkHUWpKOHJmTWoKLRoU2FvzWqjb2YeFr0d4VlFbi0LmrcNGoW3R+WYUeT244jIggLyy+s7uJoyNbIYRQfERYsxKWzMxMLFiwADt27ICra93rj8yZM8f4e+/evREcHIzY2FhkZGSgS5e6x+v/5z//wYEDB7B161aEh4djz549mDdvHkJCQuqtxYmLi8PixYuN9wsLCxEWZroF4sxJcOY4uklhmQ5anYx2Xi4Wu6ZUVZnDJiH7VFahx6Fz+dh76jK2JGdDq5PxzoN9W5S0vPLdcWRdK8O2J4dZtBaQrIve1hY/TExMRF5eHvr162fcptfrsWfPHrzzzjvQarVQq2v+QQwaNAgAcPr06ToTlrKyMjzzzDPYvHkzJk2aBACIjo5GcnIyXn/99XoTFhcXF7i4WO4N3pSYr9DN3F3U8HFzwpbkLOhlgYm9g83+wVD9xlNh4iGvpBydXsbPJ/OwISETe09dQYVeRoCXC8b0DMRfRnZp0SKaP53IxdoDF/Dy5F7oGsBJBh2ZXlZ+lFCzEpbY2FgcPXq0xraZM2ciMjISS5YsqZWsAEBycjIAIDg4uM4yKysrUVlZCZWq5hu0Wq2GLNvnmyk73dLNnNQqRIf6YOeJPOw8kYeFG5Ph6+GMfU+PhqtTy6rxG+PhrEZEoBe+SrqIKX05PNWWZV8vw4ZDF7Dx90zkFmrRJ9QHT0+IxB3d/NE1wLPF7zWXi7T4+5cpGB0ZgD/dHm7iqMnWyLKNNQl5eXkhKqrmyp8eHh7w8/NDVFQUMjIysH79ekycOBF+fn5ISUnBokWLMHz48BrDnyMjIxEfH4+pU6fC29sbI0aMwFNPPQU3NzeEh4dj9+7d+PTTT/Hmm2+a5lFaGQHle1uT9cgpKMOvp64Y7wd4ueDhweFwMWMtiyRJeDK2G+atT0Li+WvoH157tB9Zv++P5mDhxmQ4qVWYHBOCB27rgKj2Pq0uVwiBJV+lAAD+NT2aX7DINjvdNsTZ2Rk7d+7EihUrUFJSgrCwMEyfPh1Lly6tcVxaWhoKCgqM9zds2IC4uDjMmDED+fn5CA8PxyuvvNLohHO2ios1082e/fqY8fdHh3TEC3f3ssh1J0QFoXugJ1buOo3/PjLQItck0/lw71ks23Yck3oHY/n0aHi6mO7tfO3BC/j5ZB4+fGSARftWkfXS21qn27rs2rXL+HtYWBh2797d6Dm3jkwICgrCRx991NpQbAq/sRAAVOplJJzLx20dfbHqof5oa4Z1X+qjUknw9XBGhZ49b22JLAss23YCa347iydGdMaScZHGtaFM4XReMV7ZdhwzBnVAbI9Ak5VLtk2WhUlfZy3BxQ+JFJSeW4SCskq0b+tm0WQFAPKKynHobD7ip/W26HWp5cor9Vi0MRk/HLuElyb3wsODO5q0/AqdjIUbDyOkjRuWTupp0rLJtslWMDU/ExYFCCHYJEQAgO6BXmjr7oQTOYWo0MkWHTb6Q+olSJKEsT2DLHZNarn8kgrM/vR3HMsuwKqHBuDOnqav/XhrZzpO5hRh81+Gws3ZPB2+yTbJ4sb8TUrhoHoFGEYJKR0FWQMntQr/fWQgzlwuwV/WJaGovBLllXpodXpU6mWzTuy2K+0ybuvoa/GaHWq+81dLMH3lPpy7UoINcwabJVk5cOYq3t+dgcVju6N3aOs77pL9UfpzizUsCjB8BDFjIYP+4W2x6uH+eOLTRPR+4cca+/qE+mDL/GFmua6PmxPySyvMUjaZzuEL1/D4J7/Dx80Jm/8yFB38mj+fSmMKyiqxeGOycRp/optZy4zYTFgUwBoWutWoiABs/etQpF0qghCG9uIfjl1C4vnrZrtmlwBP7DyRa2ii5AvSKv147BKe3HAYvUJ88N+HB5itNuy5Lako0urw5r19FB8JQtanOl+RFP6izYRFIUo97XqdDoCAJKkgqVT8oLIikUHeiAy6sbL5uaulOJJZ0MAZrdOlnScKy3W4UlzBoatWQC8LnL1SgmPZBUjNKkBqViEOnr2K8VFBePPeGLNNIrglOQtbkrPx7/tjWjQbLpGlMGFRgEpSZpXc67mX8NHiP0PWVdbYLkkqQJKMCYwkqerZZrgPSapxnKSSbhwvqQy1R1XHAJJhPyR0v30wBv/xPos/blull2Vo1OZLKLsGeAAAMi4XM2GxMCEE0nOLkXLxOo5lFyI1qwDHcwpRWmFYTTnM1w1RIT544e5e+NOgcLMNJ714rRRLN6dickwIJsdwxmOqm/HTin1YHI9GrUKlAnNfFF7Og6yrxPA/PQY3L28IWYYQsuGnLAxLIQgZsly1TYiqfYbfa+y/eZ988zmGN2MhZEDAeG52+gmc/G0vE5Zm0OkFNGasng/384BGJeF0XjFu7+xntutQbT8ez8UTnyUCADr7e6BXex/c2TMQUe190CvEG23czd8RWi8LLN54BN5uTnhpclTjJ5DDU7o+ngmLApzUEnR6y6+TJFV9+HUdMAhtgy37bWrnf9/D+aOpFr2mrdPJAhq1+QbyOalV6ODnjozLxWa7BtXtzOUSeLlqsO/p0fBydVIkhlV7MpBwPh8bZt8OHzdlYiDbYC2dbjmsWQHOGmVqWNQaw5uSvrKykSNNT1KrIex0MUtz0ells9awAIZ+LKfzmLBYWm5hOYJ9XBVLVo5eLMCbP6Zj7oguGMTaNWoipfs8MmFRgEalQqVs3jk26qLWGCrUDB1vLcuw+rbe4te1ZYYaFvO+QQzq5It9GVeRnHndrNehmi4VlCPQ21WRa5dV6LFg42FEBnth0ZjuisRAtsU66leYsCjCSS1BCEMbsiWpnQzf5nQK1LCoWMPSbDq9gFpl3j/RR4Z0RK8QbyzamIzSCssnso7qUmE5ghRKWJZtO47s62VYcV9fi86sTLbrxrBmZfHVqoDqNwmtzrIf4E4uhpEgugqtRa8LMGFpCZ0soNPLZk1sndQqvHVfDHIKyhD/3UmzXYdqyi0sR5CP5ROWn07kYt3BC1g6qSe6Bnha/PpErcGERQFKtQM6uRjeICu1lk9YJJWKTULN1LmdB45lF2LMm7vxv0MXoNWZ5/+vSztPxE3ogc8OnMfu9MtmuQbdoJcF8oq0Jm0SunitFO/+chr/2HwUH+49i8MXrtV6vVwu0uLvX6YgNjIAMwZ1MNm1yf6J6vnZOazZ8eirahosPaPkjYSl3KLXBQCVijUszTVvVFcM6+qP93dn4JnNR7FiZzqe+0MvTOwdZPKk96Hbw/FFYibWHTiPEd3bmbRsukGWBV77IQ16WaBLu9bXcAgh8M/vTuC/e8/CzUmNcD8PfJF4ERU6GU5qCf3D22J0ZAD8PV3w3JZjcHVS4V9/jFa88yRZNyEEzl0thY+bE9q6W88IMiYsCtBVjRAy9wiQW2mcDXM7VJaXWfS6QHWTEGtYmqtPWBus/FN/ZFwuxmvb0zBvfRLu7BmIV6ZGIcDLdN/QVSoJKklCWwvM/+Goyiv1+L/Pj+C71BwsndQDt3f2bXWZh87mY/WvZ/F/d3bHY8M6wcNFgwqdjOM5hTh84Rr2pF/GGz+mQ6uT0cnfA+882Bf+npwkkOonywJ//yoFXyZeBAA4q1XGiSWVznOZsCiguk+CpWtYJJUKaidnVJYr0yQkBGtYWqpLO0+8/1B/bE/NwZKvjuL1H9Lw6h/7mPQa2dfLMToywKRlksGVYi1mf/o7TuQUYuWM/hgfFWSSco/nFEKtkvDEiC7GvnHOGhViwtogJqwNZg7thLIKPX4/n4+oEB+uzG3nqpsBXTQtW8ZBCIGXvj2Or5Iu4oW7eiLIxxWXCspxqVCLgrIKDOqk7BB4JiwK0MkCapWkSLWs2slFmU63KpVhplxqlfFRwfjswHnjFO6motXpcaVYixAfN5OWS8DpvGLM/PgQyipkbJwzGH3C2pis7CFd/CELgXve34fBXfxxW6e2GNDRF943ze/i5qzGHd3YzOcInv06FT+fzMNLk6MwsXdws89/c0c6Pt53Dv+c2hsPWmE/JyYsCtBXJSxKkCRJkb4kbBIyHVkGVCZOdvMKDUlscBtlhtraq/0ZV/HEZ78j0NsV6x+/HWG+pl1cMCLIC+8+2A/fpmRjU9JFvL87AyoJ6Bnijds6+uH2zr64s2cg+6w4iAv5pSjW6vCXdUkY3ysIL03p1eSm41W7M/Cfn08jbkKkVSYrABMWRehk864R0zDJ2OPboldVqyEsPO+MPbpWUoHsgjIEm3hIbPZ1Q7+mYNawmMxXiRfx9KYUDOrkh3dn9DPb9PcTewdjYu9gCCFw/mopDp69ioNn8rHmt7NY89tZJPxjDBe3dBBF5TpM6xeKoV388fzWVNz55h78fXwEurbzhEDVorsCkIVh5I9ctfbbsexCvPZDGv46uiueGNFF6YdRLyYsCtDLsoI1LFBk2kKVSsUallY6ll2AJz5LRGmFHg8NDjdp2TkFhpFjpk6EHJEQAit2nsK/fzqF+waEYdnUKDiZcU2oapIkoaO/Bzr6e+CObu3ww7FLuKtPCJMVB1Ks1cHLVYNJ0cEY0sUPL317HP/Y3LQ13GYO7YjFd1r3zMdMWBSgdA2LIldVqQ0rQwvB6ukW+PpwFp7elIKuAZ7YMOd2hLY1bdNCdkEZvF018HDhW0JrvbXzFN7+6RSeGheBv4zsosjr/fmtx+DhosEzk3pY/NqknKJynbH/UlsPZ7x1XwyeGhcBrU6GBMMX1urmZJVKMm5zUqtsYvQY350UYIkp1+slKbPypkpt6LUuZBmSumU92B1RpV5G/Hcnsea3s5jWrz3+ObU3XJ1M//+Xc70cIW3YHGQK6ZeKMKiTL+aN6qrI9benXsKO47l4b0a/Gp1vyb4Va3W4XlqBdrckHvb0d82ERQE6WcDJzIva1ceQUyuQsFQlaLIsG5MXapheFpi3Lgk/n8zDi3f3wsODw832bT0ttwgdTNwh1FGF+7njWE6BItcuKq/EC1uPITYyABNMNHSabMPhC9cgC6BfeBulQzEbTs2vACX7sECSoEAFi7FWRejZj6WpPt53DjtP5GLVQ/3xyJCOZktWrpVUIPH8NYyM4BwsptDBzx3Z18tRqbf8aLw3fkxHYXklXpoSxaZXB5Nw7hraujuZZAZla8UaFgUo2YdF1uuQvv9X+LUPrbmjjje3kO494O1vmvkbVCpDwrJ3w6fQODtDUqkASIbLGv6pCqFqfhqpqjZIumm+mpt+NxxjqC+qcUxdZUrSTWXVvEZd1/Py9Ud4dIxJHndLybLAp/vP4a4+IYjtEWjWa+1Kz4NeFojtwYTFFMJ9PaCXBbKulaGjv4fFrpuceR2f7D+Hf0zsgfZ21AxATZNwNh8DOvradaLKhEUBer1y87B4+bXDlQsZ2Pb2a40e223QcNy9+O8mua5/WAe0CQpD+sGDEEIYZr0VACBu9KkRwjDk2rjd8NOwHVVrnAsYf606VlQdY9gubtne8DXqJmHB2k3QOCnX/n/gzFWcv1qKN+4x7Wy2ddl5PA99Qn1MuhifIwv3MzStnc8vtVjCUqmXEbfpKHqFeOPRIR0tck2yHpV6GYczr1n9KJ/WYsKiAEMNizKtcQ/9603oKyqN92vMyXJTW9H6Z+Mgm7D5xi+0A2b9e6XJyjMlIYQxkTm+5xf8sHKF4mtm/Hr6Cvw9XdA/vK1Zr6PV6bE7/TLmjuhs1us4kmAfV2hUEi5cLQFgmRlm1+w9i7RLhdgybxg0FhhCTdYl4Vw+yitlDOzY+vWprBkTFgUoOdOtSqWGyrXxTq8aJ2eoNY7x8qjRvFSVtO3/cgNUahUkSWVoLpJUxuPUGg16jYiFm5e32WJKOJuPQZ3MX7174Ew+irU6jOlp3mYnR5Fy8To+/u0c9ELgakmFRa6ZmV+Kt3am49EhndA71Mci1yTrkVdUjr99fgRR7b3Ru719P/+O8YlkZXSygEahUUJNJev1Djmax7d9GDx9A5Dy0w4AqGq6qmqeqppHpqKsGM6ubogeM94sMZRX6pFysQD/mBRilvJvtvN4LkLbuiEi0Mvs17JXFToZ36fm4JN955B04TpC27ohbkIkZgwy7eR+dRFCYOnXqfB1d8b/jbXv5gCqrbxSjyc+S4ROFlj98AC7r11jwqIARUcJNZGs10PVwhU/bVlI90g8sXJNg8e8NWMqdJWVDR7TGofO5qNCL2NQZ/NW7wohsPNELsb1CrLrjnrmcrlIi/UHL2DdwfPIK9JiaFc/fPBQf8T2CLTY3/e3KTnYnX4Z/314ACf9czBCCDz9VQqOZxfi8ycGO8SyGnyFK0CnV3Km26aRZT3UDljD0hQqlRr52RdxITUFsl4HWdZD1ssQej30eh3UTk7o1Kc/KsrL4OLuDrWmaZ13K/UyTucVY+2B8xap9TiWXYicgnKMZXNQsxzJvI6P953DtpQcqFUSpvZrj0cGd0REkGVrqQpKK/HiN8cxvlcQm/Qc0Hu7MvB1cjb+80Bfk64Abs2YsChAp2AflqZy1BqWpnD19MaRH7fhyI/bGj02oFMEHlr+Rp37LhdpcTynEDuP5yLpwjWcyi1GRdXcHUsn9TB7rcfOE7nwctVgYCf77qhnCtXNPh/vO4fDF64jzNcNT42LwL0DwuDjrsxosuXbT6K8Uo8X7u6lyPVJOdtTc/DaD2lYENsNd/Uxf9OxtWhVwrJ8+XLExcVhwYIFWLFiBQBg5MiR2L17d43jnnjiCbz//vv1llPfG/Orr76Kp556qjUhWiW9gqOEmkqwhqVeD7+6AqWFBVCrNVCp1ZDUKqjVGkhqNVQqNbLTT+BK5nkc27UThZcvoUSrw9krJThzpQQncwpxPKcQx7ILcblICwAI8nbFyIh2uG9gGHoEeyMyyAteFphSfeeJXIyKCLDIwny2Kq+ovKrZ5wIuVzX7rH54AEZHBij6pSPhXD7+d+gCXprcC0FcsNKhpGYVYNHGI5gUHYwFsd2UDseiWpywJCQkYNWqVYiOjq61b/bs2XjppZeM993dG57yOycnp8b977//HrNmzcL06dNbGp5Vk4WAytprWGQZKgcZJdRcbl7edY4QKi0uxoHfU3DiWDquZp6H6koRUKlDr+d/MB4T6O2CXiE+uG9AGHqFeKNniDfC2ror8nooq9A7fLJSVqHHtdIKXCutwPXSSlwvraz6vQLpucX4PjUHGpUK0/q1xyNDOqK7FXROrtDJeGbTUcSEtbFIx15qnmslFbheVom27k7wdnUy2d92WYUeH+w5g/d3Z6BboCde/2Mfq/8cMbUWfSIVFxdjxowZWL16NZYtW1Zrv7u7O4KCmr6Oxa3HbtmyBaNGjULnzvY5N4QsBKz9dSZkxxwl1BwVlZXY9dthpB5KQMmpVLgWZkEFGTJUEC5tUdk2BO7deuPNIX3Qyd8Dnf09FWs+qMuUmPZYuTsDL03uZRcdNoUQOH+1FFdLDAnHtdLKqp83/V5SaUxOrpVWQKurPX2+WiWhjZsTArxd8fdxkYo2+9Tlgz0ZOHOlBN/+dZjVNy07ogdWH8DJS0UAAJUE+Lg5oa27MwK8XXBHt3YY2zMQXQM8m9zkK8sCXydn4dXtabhaosXMoZ0wf3RXuDk73vtzi96l5s2bh0mTJmHMmDF1Jizr1q3D2rVrERQUhLvuugvPPvtso7Us1XJzc7Ft2zZ88sknDR6n1Wqh1WqN9wsLC5v3IBQkRNWs8FZMcJHCesmyjPX/24Lz322Eq64YOskZsn8nuA2fjt79YzAwJgLurtZfTT+tfyje3JmO747m4J4BYUqH0yrHswvxwjfHcOhsfo3t7s5qtHV3Rht3w4eGn6czugZ4oq27E9q4O6OtR9VPd2fjNm9XjdWOmjp7pQRv/3waj9/RCT2CzTcPELXc5SIt7ukfitGRAbhWlRhfK6nAhfxSvPvLabz2Qxo6+rnjzp6BuLNnEPqHt62ReOr0Moq1OhSV63DmSgne+DENKRcLMCEqCE9PiES4n+WWe7A2zU5YNmzYgKSkJCQkJNS5/8EHH0R4eDhCQkKQkpKCJUuWIC0tDZs2bWpS+Z988gm8vLwwbdq0Bo+Lj4/Hiy++2NzwrYIsAJWVviFWk2W9cf0fqmn5M8vgcvYQ9AE9MPCeP2Lw7f3g5Gw938Cbqn0bNwzt4o8vEi/abMJyvbQCb+5Ix9oD59HJ3wMrZ/RDp3YexiTFxY46jgsh8I/NRxHo7YKFsZxzxVoVa3XoFeKNCb2Da+0rr9Rjf8ZV/Hg8F5sPZ2P1r2fh6+EMPw9nFJXrUFReiZKKmjOMR4f64PMnBuM2do5vXsKSmZmJBQsWYMeOHXCt5xvknDlzjL/37t0bwcHBiI2NRUZGBrp06dLoNdasWYMZM2bUW361uLg4LF682Hi/sLAQYWG28aYrhLDab3DVWMNSPzk7AyXte+O5N+OVDqXV/tg/FAs3JuP81RKb+uamlwU2JmTitR9OolIvEDehBx4Z0hHOGvvtk7MpKQv7Mq7ik8duc8jmAFug08vQ6uR6m1hdndQYFRmAUZEBeGVKFJIvXsfPJ/JQUqGDl6sTvF018HZ1gperBl6uTmjj7oSewd4O11elPs1KWBITE5GXl4d+/foZt+n1euzZswfvvPMOtFptrZElgwYNAgCcPn260YTl119/RVpaGjZu3NhoLC4uLnBxcWlO+FZDFgJOVv4CFLK+akVlupUU0hnO51NQqdPBycY7Jo/rFQQvFw2++P0i/jYuQulwmiTx/DU8vzUVqVmFmN4vFEvGRyDAzhduzC+pwLJtx3F3nxCM6G6Z9Ymo+Uq0htoRzyb0CVOpJPTr0Bb9Oph3vTB70qx329jYWBw9erTGtpkzZyIyMhJLliypcxhscnIyACA4uHb12K0+/PBD9O/fH336mH+FWiUJ2EKTEGtY6tMhqjfyziYg82IuOndsr3Q4reLmrMb9t4Vh1Z4MDOjYFiMjApQOqV55ReVY/v1JbErKQu/2Pvjqz0PMvjiktfjndyeglwWe/UNPpUOhBjhpJHg4q/HBr2fQv2NbBHjZdyJtac36Cu3l5YWoqKgaNw8PD/j5+SEqKgoZGRl4+eWXkZiYiHPnzmHr1q14+OGHMXz48BrDnyMjI7F58+YaZRcWFuKLL77A448/bppHZsVkAcVXA24MRwnVL+dMBipUbggPbfpIOGv29/GRGNG9HeauTUTCufzGT7CwSr2M1XvOYPTru/HLyTzET+uNr+cNdZhkZV/GFXyZeBFxE3ugnZdt1io7CndnDdbNvh1Z18ow5Z3fkJpVoHRIdsWk9dnOzs7YuXMnVqxYgZKSEoSFhWH69OlYunRpjePS0tJQUFDzidywYQOEEHjggQdMGZJVEkJYfw2L3jE73VZUVOJ4+lmknzyN7HPnUFZw3TAhnFoNlVqDipJiqM4cRoVXENR20qHTSa3COw/2wyNrDuGxjxOwYc7t6BWi3KqvQgicu1qK/RlXsf/MVezPuIr8Ei0euj0ci++MsKohxuZWXqnHPzanYmDHtrjPRjtGO5qYsDbYOn8YZn/6O+55fz/euq8Pxkc13sJAjZOEEELpIEyhsLAQPj4+KCgogLe3dQ/3+9N/D6KNuxPeebBf4wcr5I377sKds+eZbUVia3H+Yg72/fY7zh8/joqss3AtvgS10AEAKlUu0Dl5AUKGBBmQZQi1ExAUjimPPoKono13IrclReWVmPHfg8i6VoYv5g5G53aeFrmuEAIX8ktx8Ey+MUG5VFgOlQT0Dm2DwZ39MKVvCCKDrPvv2hze3JGOlbtO4/sFd6BrgPKT1lHTlVXo8bcvj2BbSg7+787umD+6q9UPtlBKUz+/bbvHoI2SraiGZeXKlVi5ciXOnTsHAOjVqxeeXboUgICkVuGDDz7A+vXrkZSUhKKiIly7dg1t2rSpUcYrr7yCbdu2ITk5Gc7Ozrh+/XqN/UeOHMHy5cuxd+9eXLlyBR07dsTcuXOxYMECizzGW10vKMLnG77GpUN74V6cBQmAXuMN+IfBvfcAdInsjp69uiEsJBAqB+p47OXqhI9n3oZ7V+3HQx8ewhdzByOkjelXgL1WUoGtR7Jx8lIh0i4VIT23GMVaHSQJ6BXijbv6BGNwFz8M7OhrkSUKrNXpvCKs3HUafx7RhcmKDXJzVuOdB/qie4AX3tiRjvS8Yrz2x2i4OtlHzawSmLAoQBbCavqwhIaGYvny5ejWrRuEEPjkk08wZepULBg9GCqVGqWlpRg/fjzGjx+PuLi4OsuoqKjAPffcg8GDB+PDDz+stT8xMREBAQFYu3YtwsLCsG/fPsyZMwdqtRrz588390O8Kc5KrPlwPa7t+QZOshbCryv8hz+CUbHDEB7KKlsA8PVwxmezbsMfV+7Hnz48iC+eGAw/T9P1m9iemoOlXx9DYVklugR4IjLIC3f2DEJkkBf6hbeFj5vjJig3k2WBZzalIrStO/4yqqvS4VALSZKEBWO6oVugJxZ/noz7VpXgg4cHINDOR7WZC5uEFHDvqv1o38YNb90Xo3QodfL19cWYLqF48a230WPYSADArl27MGrUqDprWKp9/PHHWLhwYa0alrrMmzcPJ06cwM8//2y6wOvx8+6DOLjzJ1RczIBHaS7KO/TDPU/MQkRXrsNSn7NXSjDl3d8wtW97k6wGfLVYi+e3HsO3KTkY0yMQ/5waZfdDkVtjw6ELeHrTUax/fBCGdPVXOhwygdSsAjz+ye8QEFj98ABEh7ZROiSrwSYha2alo4T0ej2++OILlJSUINyvrVlHCRUUFMDX1zwzN5aWleOzT7+Ai6srBg7qh8PvvQxnAM4AIh99CpMmjDDLde1JJ38P3NM/FJsPZ+Efk3q0apHE0god7nl/P/JLK/Dv+2Nwd58QtuU34HKRFv/87gSm9wtlsmJHotr7YOv8oZj9WSLuXbUfr9/TB3+IDlE6LJvChEUBeivqwwIAR48exeDBg1FeXg5PT09sWL8OZz7/2GyjhPbt24eNGzdi27ZtJi/7QMJR7Px3PNwqC1EMYPt3N9akCrh7FpOVZpjarz3+u/csfj11GaMjA1tcTvx3J5FdUIZtT96BLhbqyGvLlm07DrVKwj8m9VA6FDKxAG9XbJxzO57+KgXz1x9Gem4xFsZ240y2TcSERQF6WUBtRQlLREQEkpOTUVBQgC+//BJznpiLRwf0gsoMw3ZTU1MxefJkPP/88xg7dqzJys3Nu4odO/Ygd+uHcAPQe04ctNoKnDl+AuXFxXjy6QVwc+UcFs3RM9gbkUFe+Copq8UJy+70y/jswHm8NLkXk5Um2J1+GVuSs/HGPX3g6+GsdDhkBq5Oarx1Xwy6BXrhtR/ScDqvCG/cE8PlFpqACYsCZCGsKqN2dnZG166Gjn39+/fHgX37sPfUOfzFxDUsx48fR2xsLObMmVNrbp6WOJxyEru3/4Si40lwK8uFBKDYuwPumvdX9Iup+nY6cVSrr+OoJEnC1L7t8caOdBSWV8K7mSN2Ckor8fcvj+CObv740yD2F2pMWYUeS78+iiFd/DCtn23PoEwNkyQJ80Z1RdcATyzamIx7Vu3D6ocHINjH9KPy7AkTFgXoZYFWdAkwO72sh06WIZmwD8uxY8cwevRoPPLII3jllVdaXM7BxFT8un0HytMOw02bD53kBBEUAb+R4zBs+GB068zJtUxpSt/2+Nf2k/j+aA7uG9ihWec+tzUVpRV6vPrHaKtK0K3Vv386hdxCLT59bBD7+DiIcb2C8OXcIbjn/X3453cn8Z8H+iodklVjwqIAa2oSiouLw4QJE9ChQwcUFRVh/fr12PvbPsy+YyBUKjUuXbqES5cu4fTp0wAM/V28vLzQoUMHY6fZCxcuID8/HxcuXIBerzeuH9W1a1d4enoiNTUVo0ePxrhx47B48WJcunQJAKBWq9GuXdMWctu1NwG7134Gz2tnoFO5AO17ouPQGRg3djg8PfitxFwCvV0xtKs/vkrKalbC8m1KNrYkZ2PFfTH81tgEJ3IKsfrXM1gY2w2d/G1n1WxqPbVKQkmFHmN6WO86XtaCCYsCrKlJKC8vDw8//DBycnLg4+OD6OhofLF+Hc5tXgeVWoX3338fL774ovH44cOHAwA++ugjPProowCA5557Dp98cqNza9++hm8Jv/zyC0aOHIkvv/wSly9fxtq1a7F27VrjceHh4cYJ6+ojyzJee+l1aE7sgcrFF8FTZmPatAlwdWH7vqVM7dseiz8/gsz8UoT5uhu3y7LA9bJK5JdocbW4AvklFbhaYvi55rezmNQ7GJNjOAqiMbIsELfpKDr7e+CJEfY1ezI1bvWvZxDs44qJvTkXVGM4D4sCYt/YhVERAVhqpSuvXsk8j0/+Ng8PvPwaQrorO1Jh9QfrUPjT/+AyZDKemDcTThrm2JZWotVh4Cs70aWdJ9yd1civSkqulVZAvuXdQyUZJp/r0s4TK//Unx1Hm+Cz/efw7JZj+GLuYAzsaJ6h/mSdcgvLMexfP+Pv4yIxe3hnpcNRDOdhsWKyMFQDWitZrwcAxRc/zLtyHdd+/gKVnQbi/xbMVjQWR+bhosGC2G7Yc+oyfD1c0CPYG34ezvD1dDb89HCBr4fhdx83J6upPbQFuYXleHV7Gh64LYzJigP6eN85uGrUuP829r1rCiYsCtDJslUnLEKWAcCknW5b4qeffoVa6DB97ixF4yDgiRFd2FxhBi9sPQYXJzWeHs85VxxNiVaHdQfO4/7bwhx6zazmsOKxKvZLlm2khkXhhCX7TAYq1O7o0jFU0TiIzGHn8Vx8n3oJz93VEz7u/MByNJ//nonSCj1mDu2kdCg2gwmLAvSydc10eyulm4RkWYYsyyg6kwZnfSnkqhofIntRotXhuS2pGNG9He6KZmdLR6PTy/hw71n8ITrYLCui2ys2CSlAL4R117DI1TUsls1n3/vPGlz9fQ9ctNchCRleMCQqaQd+R48ht1k0FiJzenNHOvJLK7BsShTnXHFAPxzLxcVrZXj/T/2VDsWmMGFRgCxbecKiQJPQzl/2o2zvJsiBPeDZfQTUGhWu5+UhSCXQvui6xeIgMrejFwvw0W9n8ffxkTWGiZNjEELggz0ZGNLFD1HtfZQOx6YwYVGAtS1+eCtRlbBIFmgSSj2egR++/ga6lN3QurXDM2/G1zt0+WLRRQgIhHmxRz3ZJp1eRtzmFHQP9MKsYey74IgSzl3DkYsF+GjmQKVDsTlMWBRg7VPzV/cZMVcNiyzLWLf+a5zb+S3cy/KglzQQEYMxa27D86y4qF2QlJfEhIVs1sf7zuFYdiE2/2UonKz5TYDM5oM9Z9AtwBMjuzdtlm+6gQmLAoSAVdewmLtJqHrmWtm/G9pPnIaJE0bD26vxqvF27u0wruM4s8REZG5Z18vw5o50PHx7OGLC2igdDikg43IxfjqZi39Ni2bfpRZgwqIAqx8lJJs3YdGdPoLy4F54fsW/zFI+kbURQuD5LanwctXgb+MilA6HFPLh3rPw83DB5L5csqIlWCepANnaRwnpdADMl7Dond0hVV2DyBFsT72EnSfy8OLdvThJmIO6UqzFV4kX8eiQcLholJ3jylYxYVGALASsOF+50YfFDJ1uN339I9xLLiEkhsP5yDEUllfi+a3HMKZHIMb1ClI6HFLIZ/vPQyVJmDEoXOlQbBYTFgXoZetZrbku5urDkn3pCtI3rkKJfzc88ui9LS/o20VA3knTBUZkRq9tT0OJVoeXJvdivwUHVV6px2cHzuPeAaFoywVBW4x9WBQg20inW0llunxWr9Pjo7fegUbIeHzp061bdXni6wCs9/+PqFrShWtYe/A8np3UkzOaOrCvki7iWmkFHuNQ9lZhwmJhsiwAAGorTliErAckyWTfBr//YQ8S166GW8U1uA2bhvbBAa0rUOFVpImaQqeX8cymo4gK8cEjQzoqHQ4pRJYFPvz1LMb3CkK4n4fS4dg0JiwWpi0rw8wLa3FxRQX+rZIMiQGkqgoDQ4IgVf8uSVWbJQDSTdtRdU718ZLx3Bv7UHVO9Xbplu2191eXdf3SBQBARXkZnF1b963wx59+w7E1r0Lv0wH9n3gSI4dxsiRyDP9LyERabhG2zBtq1Z3sybx+PpmHM1dK8No90UqHYvOYsFhYaXERPPVF8OwzDP2iIwAhIADDT2GofRFCGCZruen3qqMAUbUNouqQqv1Vv984vr4yq46tOkcYz79RTlivXvDw8YGTi2urHqtep8f+9Z9A5eqPZ957u3XNQEQ2pKC0Em/+mIY/9gtFdGgbpcMhBX249yxiwtqgf7iv0qHYPH6CWJioqgnxjOiLAX+w30nQSsvK8cbSl+FZnI2QqXOYrJBDefvnU9DqZDzFOVcc2rHsAuw/cxX/eaCv0qHYBX6KWJhc9VOqrjGxQ8dOZuCr5a/ArewKAic/jgfuv1vpkIgsJuNyMT7Zdw6L7uyOAO/W1VKSbVuz9xzat3HDhCgOZzcFJiwWVtXnFpKd5it6nR5fvvEGnCpLMexvL2PwwD5Kh0RkUf/cdgKB3q5c3NDB5RWWY+uRLDw1LgIarhtlEvxftLDqPEVlpxnLitfehUfhBfS8/3EmK+Rw9qRfxk8n8/DMxB5wdeJoNkf22YHzcFKrcN/ADkqHYjdYw2JhQlSNxlE4DnM4djIDcvIOIGoUptw1RulwiCxKp5fx8rfHcVtHX0zszSYAR1ZeqcfaA+dx74Aw+LhxKQZTaVUNy/LlyyFJEhYuXGjcNnLkSEhVc3hU3+bOndtoWSdOnMDdd98NHx8feHh4YODAgbhw4UJrwrNKuupZZE04KZs1SDt9HpuXPYdy5zaYMfsRpcMhsrj1hy7g9OViPHdXT85o6+A2JWXhelklZg7tqHQodqXFNSwJCQlYtWoVoqNrjy2fPXs2XnrpJeN9d3f3BsvKyMjAsGHDMGvWLLz44ovw9vbGsWPH4Opqfx3Wbkx7bz8Jy1ebf8Cpzz8A1C6457mXERLkr3RIRBZVUFqJN3ek457+oYhq76N0OKQgIQTW/HYWd/YI5ERxJtaihKW4uBgzZszA6tWrsWzZslr73d3dERTU9CrRf/zjH5g4cSJeffVV47YuXbq0JDSrd6OGxT7at5OST+Dshv9A698Nc59fisAAP6VDIrK4FT+lo1In428cxuzwdqdfxum8YrwyJUrpUOxOi77mz5s3D5MmTcKYMXX3U1i3bh38/f0RFRWFuLg4lJaW1luWLMvYtm0bunfvjnHjxiEgIACDBg3C119/3WAMWq0WhYWFNW62QKevWgnZTmpYvv3kU1So3fHU6/FMVsghnc4rxmf7z2Pe6K4I8LK/WmFqng/3nkXv9j64rRMnijO1Zn9qbtiwAUlJSYiPj69z/4MPPoi1a9fil19+QVxcHD777DP86U9/qre8vLw8FBcXY/ny5Rg/fjx+/PFHTJ06FdOmTcPu3bvrPS8+Ph4+Pj7GW1hYWHMfiiLkqoRFbeKVkJXw/spP4JF9FEFjpsPdjW/U5Jhe2XYcwW1c8dhQDmN2dGmXivDrqSuYNawT+zGZQbOahDIzM7FgwQLs2LGj3v4lc+bMMf7eu3dvBAcHIzY2FhkZGXU288iy4QN88uTJWLRoEQAgJiYG+/btw/vvv48RI0bUeZ24uDgsXrzYeL+wsNAmkha9nXS6/XLT9yje9SV0EcPw2GP3KR0OkSJ2peXhl7TLWDmjH4cxE9bsPYtAbxdM7B2sdCh2qVkJS2JiIvLy8tCvXz/jNr1ejz179uCdd96BVqutVXMwaNAgAMDp06frTFj8/f2h0WjQs2fPGtt79OiBvXv31huLi4sLXFxcmhO+VahOWNQ2mrDk5F7Fh6+tgFvmYZQG9EDcc39TOiQiRVTqZSzbdgK3dfLFeM5k6vCuFGuxOTkLC8d0g7PGNt/frV2zEpbY2FgcPXq0xraZM2ciMjISS5YsqbOZIzk5GQAQHFx3xuns7IyBAwciLS2txvb09HSEh4c3JzybUF2jpLLBJqEvN32PU1+ugUbI8Iq9H3999D6uEUQOa/3BC8i4XIwV9w1j9T9h7YHzUEsSHryNE8WZS7M+bby8vBAVVbPns4eHB/z8/BAVFYWMjAysX78eEydOhJ+fH1JSUrBo0SIMHz68xvDnyMhIxMfHY+rUqQCAp556Cvfddx+GDx+OUaNGYfv27fjmm2+wa9eu1j9CK6PX22bC8vPugzi38T1U+HfDI0ueQscOrPIkx3W9tAJv7UzHvf3DOIyZjBPFTe/fHm3cnZUOx26Z9Ouxs7Mzdu7ciRUrVqCkpARhYWGYPn06li5dWuO4tLQ0FBQUGO9PnToV77//PuLj4/Hkk08iIiICX331FYYNG2bK8KyCsUnIxkYJHfjhRwiNJ5b++zWoNbaVbBGZ2oqdp6DTCw5jJgDA1iPZuFJcwY7XZtbqhOXmWpCwsLAGR/ZUE6L2OjqPPfYYHnvssdaGY/VsMWFJSj4B9ZkkqKLuYLJCDu90XhE+O3AefxsbgXZettePjkxLCIE1e88iNjIAndt5Kh2OXbOdT007UT0Pi0ZtO30/vln1PiqdPPHwHE65T7Rs2wm0b+OGx4Z1VDoUsgK/nb6Kk5eKuDq3BTBhsTC9XgcAcLKRmoqKikq4XrsAr5ghnBiOHN4vaXnYlXYZz0yMhIuN/A2TeX249wx6BHtjcBe+P5obExYLq9QZmoQ0NvJmt/azr6ARleg3ZJDSoRApqlIvY9m3x3F7Z1+M68VhzGRoHvwl7TInirMQ22mXsBM6naFJyBZqWNLPXEDOz1ugD+yBOwb3a/wEIju29sB5nLlSgrcf6MsPJwIArPntHPw9XXBXH46atAQmLBZW3SRkzTUsicnH8cu2H1B5bB+EygnT/zJX6ZCITK6sQo/80grjIIBbxwIIAQgYNpZV6rFi5yncPzAMvUI4jJmA/JIKbEq6iL+M7MrmQQthwmJh1TUs1piwnDx1Dl+sXA33rCPQqVyhD+2Jx/7vSYQE+SsdGpHJ/fH9fTiW3fRFU71cNVh8J4cxk8H6g+chBDBjECeKsxQmLBZWPazZ2YpGCZWVa7Hi5dfgdPoA1Gp3eMXej4cfuReuLpwAiezXtZIKTIkJwfT+oQAACYZmHkkCjA0+Eoz7Ovl7cBgzAQAqdDI+3X8e0/q1h58nXxOWYj2fmg6iMCMVAKArL1Y4khveee0daE4fguuQyXj80fvRxsdL6ZCILKKDnwfu6NZO6TDIxnybko28Ii0nirMwJiwWpnI3JANuHtYxwdD2HXshju2BFDUC8xfMVjocIoupPX0lUeOEEPhw71mM6N4O3QL55c6SmLBYmMrb0B/Ew1v5F/r7732C4t1foMwrFAsXPKF0OEREVu/AmXwcyy7Ep4/dpnQoDofzsFiYXlcJAHBxdlI0jq+/2Yni3V+istsQxL33H/h4W0eND5ElcXAyNdeHe8+ie6An7ujGwQiWxoTFwvRVE8epNcolLGfOZSFt3bso8e+Kv73wdzgrnDwRKaGOJc2IGnT2Sgl+OpnLieIUwoTFwvQ6HWSoFHuxy7KMjWs+hUZUYmbc03DSsFWQiKgpPvrtLHzdnTE5pr3SoTgkflpZWHWT0Lff74JarYZGo4Fao4am6neNkxpOGo1hu1oNIWQIGdDLeggAQhYARNVPQKVRQ6NSQ61RQ61RVf2uMpSnVkPjpIFGrYZT1c//fvAZnNN+g+gdiw6hgcr9RxBZAX5JpqYqKK3EF79fxOzhneHqZH3zaDkCJiwW5uHlhXLISPv4dcVi0HYZhGeWLlLs+kTWQHCcEDXD/xIuQC8LPHR7uNKhOCwmLBb26CP34NyoYdBWVECn06FSp4dep0NlpR56nR6V+krodXrodHro9XpIACSVoQlJkgBJUlX9NHw11Ov10OtlyHoZellv+KnXQ5ZlyHo99NU/q7apVCpMnTpR2f8EIiIbUqmX8fFv5zA5JoSTByqICYsCOnbgQllE1kDiOCFqgu+O5uBSYTlm3cGJ4pTETrdE5JA4SoiaQgiBNXvPYmhXP0QGeSsdjkNjwkJERFSPxPPXcORiAR4f1lnpUBweExYickgCHCVEjfvvr2fRuZ0HRnTnmlNKY8JCRERUh8z8Uvx4/BIeG9oJKhWzW6UxYSEiIqrDR7+dg7ebE6b3C1U6FAITFiJyUEJwLSGqX2F5JTYmXMCMQR3g5syJ4qwBExYiIqJbfJ6QiQq9jIcHd1Q6FKrChIWIiOgmOr2Mj347h7uiQxDo7ap0OFSFCQsROSjBUUJUpx+O5SLrehkeG8aJ4qwJExYiIqKbfLj3DAZ18kVUex+lQ6GbMGEhIiKqknThGpIuXMfjd3CiOGvDhIWIHJIQNxYRJar24d6z6OjnjtjIAKVDoVswYSEiIgKQdb0M21MvYSYnirNKTFiIiIgAfLLvHDyc1fhjf04UZ42YsBCRQ+JizXSzYq0O/zt0AQ8M6gAPF43S4VAdmLAQEZHD++L3TJRW6PEIJ4qzWq1KWJYvXw5JkrBw4ULjtpEjR0KSpBq3uXPnNljOo48+Wuuc8ePHtyY0IiKiJtHLAh/9dg4TewcjpI2b0uFQPVpc75WQkIBVq1YhOjq61r7Zs2fjpZdeMt53d3dvtLzx48fjo48+Mt53cXFpaWhERI0SghPHkcHOE7m4kF+Ktx/oq3Qo1IAWJSzFxcWYMWMGVq9ejWXLltXa7+7ujqCgoGaV6eLi0uxziIiIWuvDX89iQHhbxIS1UToUakCLmoTmzZuHSZMmYcyYMXXuX7duHfz9/REVFYW4uDiUlpY2WuauXbsQEBCAiIgI/PnPf8bVq1cbPF6r1aKwsLDGjYioKRLP5+NaaaXSYZAVSM0qwKFz+ZjFafitXrNrWDZs2ICkpCQkJCTUuf/BBx9EeHg4QkJCkJKSgiVLliAtLQ2bNm2qt8zx48dj2rRp6NSpEzIyMvDMM89gwoQJ2L9/P9Tqupf1jo+Px4svvtjc8ImI8NOJPADAHV3bKRwJKe3LxIsI8HLB2F6s4bd2zUpYMjMzsWDBAuzYsQOurnWvYDlnzhzj771790ZwcDBiY2ORkZGBLl261HnO/fffX+Oc6OhodOnSBbt27UJsbGyd58TFxWHx4sXG+4WFhQgLC2vOwyEiBxba1g29Q7lWjCPTywLfpuTg7j4hUHOiOKvXrCahxMRE5OXloV+/ftBoNNBoNNi9ezfefvttaDQa6PX6WucMGjQIAHD69OkmX6dz587w9/dv8BwXFxd4e3vXuBERNQU72xIAHDhzFVeKtbg7JkTpUKgJmlXDEhsbi6NHj9bYNnPmTERGRmLJkiV1Nt8kJycDAIKDg5t8nYsXL+Lq1avNOoeIqDkEZ45zeFuTs9HB1x19WNNmE5qVsHh5eSEqKqrGNg8PD/j5+SEqKgoZGRlYv349Jk6cCD8/P6SkpGDRokUYPnx4jeHPkZGRiI+Px9SpU1FcXIwXX3wR06dPR1BQEDIyMvD3v/8dXbt2xbhx40zzKImIbiKBVSyOrkIn4/vUHDw0OJyLYNoIk84/7OzsjJ07d2LFihUoKSlBWFgYpk+fjqVLl9Y4Li0tDQUFBQAAtVqNlJQUfPLJJ7h+/TpCQkIwduxYvPzyy5yLhYiIzGJP+mUUlutwd5/2SodCTdTqhGXXrl3G38PCwrB79+5GzxE31cW6ubnhhx9+aG0YRERNxi/UtPVINiICvRAR5KV0KNREXEuIiBySYCcWh1VaocOO47m4qw/7SdoSJixE5HBYweLYfjqRh7JKPe7qw9FBtoQJCxE5JNavOK6tR7LRJ6wNwv08lA6FmoEJCxE5HnZicVgFZZXYnXYZd7N2xeYwYSEih8QuLI7ph2OXUCnL+EM0+6/YGiYsRORwJACCjUIO6Zsj2RjUyReB3nUvL0PWiwkLERE5hMtFWvx2+grnXrFRTFiIyOFIEpuEHNH3qTlQSRImRHFlZlvEhIWIiBzC1uRs3NHNH209nJUOhVqACQsRORwJEnuwOJis62X4/fw1rsxsw5iwEBGR3fvmSDZcNCrc2ZPNQbaKCQsRORz2YXE83xzJRmyPAHi6mHTNX7IgJixERGTXMi4X41h2ISeLs3FMWIjI4RjmuWUVi6PYmpwNTxcNRkYEKB0KtQITFiJyOJyZ33EIIfBNSjbG9gqEq5Na6XCoFZiwEJFDYh8Wx3AsuxBnLpewOcgOMGEhIocjsYrFYXxzJBu+Hs4Y2tVf6VColdhdmogcjlol4WpJBbov/R5AdZ+WG01FEm4kNDe2Vd+XatxHffsbOU+6pYDax9eMpb7yasV5y3nOGhUGd/bD1H7t0TesjUMla7Is8G1KDiZEBcFJze/nto4JCxE5nHv6h8LDRQMhhLFpSFT9Ut1SZNyOmvtx0/7qBRRrH1t9v+b+G+c27zyBmgc09XghgGJtJX48fgmfHTiPTv4emBLTHlP6hiDczwP2LunCNWRdL2NzkJ2QxK1/hTaqsLAQPj4+KCgogLe3t9LhEBFZDb0scODMVWxKysL21ByUVOjRP7wtpvZtjz9EB6ONu31OVf/cllT8eCwX+54eDZXKcWqWbE1TP7+ZsBAROZDSCh12HM/F5sNZ+PXUFagkYFREAKb1a49RkQFw0djHSBqdXsbt8T9hSkx7LP1DT6XDoQY09fObTUJERA7E3VmDyTHtMTmmPS4XabH1SDa+PpyFuWuT4O2qwaToEEzr1x4DwtvadH+X/Weu4kpxBdcOsiNMWIiIHFQ7LxfMGtYJs4Z1wqncImw+nIUtydn436ELCPN1w9SY9pjStz06t/NUOtRm25qcjY5+7ujd3kfpUMhE2CRERERGsixw6Fw+Nidl4bujOSjS6tAnrA2mVfV38fN0UTrERml1egxYthOPDumI/xsboXQ41Aj2YSEiolYpr9TjpxN52Hz4InalXQYAjOjeDlP7tceYHtY7c+yPxy5hzmeJ2LFoOLoFeikdDjWCfViIiKhVXJ3UmBQdjEnRwbharMW3KTnYfDgL89cfhpeLBhN7B2NK3/YY1MnXqkbhbD2SjcggLyYrdoYJCxERNcrP0wWPDOmIR4Z0xJnLxfj6cBY2J2dh4++ZaN/GDZNjDJ11uwYomySUaHXYeSIXfx3dTdE4yPSYsBARUbN0bueJxWMjsOjO7kg8fw2bDmdh3cELeG9XBqLae2Nq31Dc3ScE7bws399l54lclFfKnCzODrEPCxERtZpWp8cvJy9j8+GL+PlkHmQBDOvqj2n92mNszyC4OVumv8vjnyTgakkFNv9lqEWuR63HPixERGQxLho1xkcFYXxUEK6XVmDb0RxsTsrCgg3J8HBWY3xUMKb1a4/bO/tBbab+LtdLK7A7/TKemdjDLOWTspiwEBGRSbVxd8aMQeGYMSgcF66W4uvkLGw+nIWvki4iyNsVk2NCMLVfe0QGmbY2/Idjl6CXBSb1DjZpuWQd2CRERERmJ4RAcuZ1bD6chW+OZONaaSUig7wwrZ9h1t1Ab9dWX2PGfw9ACGD97NtNEDFZCudhISIiq1Shk7En/TI2H87CjhO50OllDO3qjykx7TE+KggeLs2v/M8rKsft//wJ/5zaG/ff1sEMUZO5NPXzW9WaiyxfvhySJGHhwoXGbSNHjoQkSTVuc+fObXKZc+fOhSRJWLFiRWtCIyIiK+WsUWFMz0C8O6MfEv4xBvHTeqNCJ+P/vjiCAct2YuGGw9idfhk6vdzkMr9LyYFaJWF8VJAZIycltbgPS0JCAlatWoXo6Oha+2bPno2XXnrJeN/d3b1JZW7evBkHDhxASAiHoxEROQIfNyfcN7AD7hvYARevlWJLcjY2JV3E18nZaOflgrv7hGBq3/boFeLd4GKMW49kY3i3dmjj7mzB6MmSWlTDUlxcjBkzZmD16tVo27Ztrf3u7u4ICgoy3prSRJOVlYW//vWvWLduHZycnFoSFhER2bDQtu6YN6ordi4egW/mD8MfooOxJTkLf/jPXoxbsQfv7TqN7Otltc7LzC9F0oXrXJnZzrUoYZk3bx4mTZqEMWPG1Ll/3bp18Pf3R1RUFOLi4lBaWtpgebIs46GHHsJTTz2FXr16NSkGrVaLwsLCGjciIrJ9kiShd6gPnr+rFw7ExeKjmQMRGeSNt386haH/+hkPfHAAn/+eiaLySgDANynZcHVSYUyPQIUjJ3NqdpPQhg0bkJSUhISEhDr3P/jggwgPD0dISAhSUlKwZMkSpKWlYdOmTfWW+a9//QsajQZPPvlkk+OIj4/Hiy++2NzwiYjIhmjUKoyKCMCoiAAUa3XYnnoJmw9fxJKvUvDs16m4s2cgUrMKENsjsEWddcl2NOvZzczMxIIFC7Bjxw64utY9BG3OnDnG33v37o3g4GDExsYiIyMDXbp0qXV8YmIi/v3vfyMpKanB9slbxcXFYfHixcb7hYWFCAsLa8ajISIiW+LposEf+4fij/1DkVNQhq3J2dh8OAvnrpbiubt6Kh0emVmzhjV//fXXmDp1KtTqG1Ms6/V6SJIElUoFrVZbYx8AlJSUwNPTE9u3b8e4ceNqlblixQosXrwYKtWN1im9Xg+VSoWwsDCcO3euSbFxWDMRkWPKKypHgFfr53EhZZhlav7Y2FgcPXq0xraZM2ciMjISS5YsqZWsAEBycjIAIDi47pkHH3rooVp9YcaNG4eHHnoIM2fObE54RETkgJisOIZmJSxeXl6Iioqqsc3DwwN+fn6IiopCRkYG1q9fj4kTJ8LPzw8pKSlYtGgRhg8fXmP4c2RkJOLj4zF16lT4+fnBz8+vRplOTk4ICgpCREREKx4aERER2QuT9lBydnbGzp07sWLFCpSUlCAsLAzTp0/H0qVLaxyXlpaGgoICU16aiIiI7Bin5iciIiLFWGRqfiIiIiJLYMJCREREVo8JCxEREVk9JixERERk9ZiwEBERkdVjwkJERERWjwkLERERWT0mLERERGT1mLAQERGR1WPCQkRERFbPpGsJKal6hYHCwkKFIyEiIqKmqv7cbmylILtJWIqKigAAYWFhCkdCREREzVVUVAQfH59699vN4oeyLCM7OxteXl6QJMm4vbCwEGFhYcjMzOSiiArjc2Fd+HxYDz4X1oPPheUJIVBUVISQkBCoVPX3VLGbGhaVSoXQ0NB693t7e/PFZyX4XFgXPh/Wg8+F9eBzYVkN1axUY6dbIiIisnpMWIiIiMjq2X3C4uLigueffx4uLi5Kh+Lw+FxYFz4f1oPPhfXgc2G97KbTLREREdkvu69hISIiItvHhIWIiIisHhMWIiIisnpMWIiIiMjq2UXCkp6ejsmTJ8Pf3x/e3t4YNmwYfvnlF+P+jz/+GJIk1XnLy8trtHytVouYmBhIkoTk5GQzPhLbZ47n4ty5c5g1axY6deoENzc3dOnSBc8//zwqKios9bBskrn+LvLz8zFjxgx4e3ujTZs2mDVrFoqLiy3xkGxWY89FtY8//hjR0dFwdXVFQEAA5s2b12C5ly5dwkMPPYSgoCB4eHigX79++Oqrr8z1MOyCuZ4LANi/fz9Gjx4NDw8PeHt7Y/jw4SgrKzPHw3BMwg5069ZNTJw4URw5ckSkp6eLv/zlL8Ld3V3k5OQIIYQoLS0VOTk5NW7jxo0TI0aMaFL5Tz75pJgwYYIAIA4fPmy+B2IHzPFcfP/99+LRRx8VP/zwg8jIyBBbtmwRAQEB4v/+7/8s9Khsk7n+LsaPHy/69OkjDhw4IH799VfRtWtX8cADD1jgEdmuxp4LIYR44403REhIiFi3bp04ffq0OHLkiNiyZUuD5d55551i4MCB4uDBgyIjI0O8/PLLQqVSiaSkJHM/JJtlrudi3759wtvbW8THx4vU1FRx8uRJsXHjRlFeXm7uh+QwbD5huXz5sgAg9uzZY9xWWFgoAIgdO3bUeU5eXp5wcnISn376aaPlf/fddyIyMlIcO3aMCUsjzP1c3OzVV18VnTp1alW89sxcz8Xx48cFAJGQkGDc9v333wtJkkRWVpbpHoAdacpzkZ+fL9zc3MTOnTubVbaHh0et58vX11esXr269YHbIXM+F4MGDRJLly41abxUk803Cfn5+SEiIgKffvopSkpKoNPpsGrVKgQEBKB///51nvPpp5/C3d0df/zjHxssOzc3F7Nnz8Znn30Gd3d3c4RvV8z5XNyqoKAAvr6+pgjbLpnrudi/fz/atGmDAQMGGLeNGTMGKpUKBw8eNPnjsAdNeS527NgBWZaRlZWFHj16IDQ0FPfeey8yMzMbLHvIkCHYuHEj8vPzIcsyNmzYgPLycowcOdICj8z2mOu5yMvLw8GDBxEQEIAhQ4YgMDAQI0aMwN69ey310ByD0hmTKWRmZor+/fsLSZKEWq0WwcHBDVaJ9ujRQ/z5z39usExZlsX48ePFyy+/LIQQ4uzZs6xhaQJzPBe3OnXqlPD29hYffPBBa8O1a+Z4Ll555RXRvXv3WtvbtWsn3nvvvVbHbK8aey7i4+OFk5OTiIiIENu3bxf79+8XsbGxIiIiQmi12nrLvXbtmhg7dqwAIDQajfD29hY//PCDJR6SzTLHc7F//34BQPj6+oo1a9aIpKQksXDhQuHs7CzS09Mt9dDsntUmLEuWLBEAGrydOHFCyLIs7r77bjFhwgSxd+9ekZiYKP785z+L9u3bi+zs7Frl7tu3TwAQv//+e4PX//e//y2GDh0qdDqdEMKxExaln4ubXbx4UXTp0kXMmjXLlA/RZij9XDBhucGUz8Urr7wiANRINvLy8oRKpRLbt2+vN4b58+eL2267TezcuVMkJyeLF154Qfj4+IiUlBSzP35rovRz8dtvvwkAIi4ursb23r17i6efftp8D9zBWG3CkpeXJ06cONHgTavVip07dwqVSiUKCgpqnN+1a1cRHx9fq9zHHntMxMTENHr9yZMnC5VKJdRqtfEGQKjVavHwww+b7HHaAqWfi2pZWVmiW7du4qGHHhJ6vb7Vj8sWKf1cfPjhh6JNmzY1tlVWVgq1Wi02bdrUugdnY0z5XKxZs0YAEJmZmTWOCQgIqLcm8fTp0wKASE1NrbE9NjZWPPHEEyZ8pNZP6efizJkzAoD47LPPamy/9957xYMPPmjCR+rYNCZsXTKpdu3aoV27do0eV1paCgBQqWp2x1GpVJBluca24uJifP7554iPj2+03LfffhvLli0z3s/Ozsa4ceOwceNGDBo0qCkPwW4o/VwAQFZWFkaNGoX+/fvjo48+qnUNR6H0czF48GBcv34diYmJxjb/n3/+GbIs8++iHk15LoYOHQoASEtLQ2hoKADD8PErV64gPDy8WeWq1epaz7G9U/q56NixI0JCQpCWllZje3p6OiZMmNC8B0P1Uzpjaq3Lly8LPz8/MW3aNJGcnCzS0tLE3/72N+Hk5CSSk5NrHPvf//5XuLq6imvXrtUq5+DBgyIiIkJcvHixzus4cpNQU5nrubh48aLo2rWriI2NFRcvXqwxDJfqZs6/i/Hjx4u+ffuKgwcPir1794pu3bpxWHMDmvpcTJ48WfTq1Uv89ttv4ujRo+IPf/iD6Nmzp6ioqBBCGP4OIiIixMGDB4UQQlRUVIiuXbuKO+64Qxw8eFCcPn1avP7660KSJLFt2zZFHqu1M9dzIYQQb731lvD29hZffPGFOHXqlFi6dKlwdXUVp0+ftvjjtFc2n7AIIURCQoIYO3as8PX1FV5eXuL2228X3333Xa3jBg8eXG/13C+//CIAiLNnz9a5nwlL05jjufjoo4/qbZem+pnr7+Lq1avigQceEJ6ensLb21vMnDlTFBUVmeth2IWmPBcFBQXiscceE23atBG+vr5i6tSp4sKFC8b91e9Bv/zyi3Fbenq6mDZtmggICBDu7u4iOjq62VMEOBpzPRdCGDrshoaGCnd3dzF48GDx66+/WuIhOQxJCCEUqdohIiIiaiLH7AhARERENoUJCxEREVk9JixERERk9ZiwEBERkdVjwkJERERWjwkLERERWT0mLERERGT1mLAQERGR1WPCQkRERFaPCQsRERFZPSYsREREZPWYsBAREZHV+38vKtiz3KnJjwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 1771 has island pieces.  We will reduce the tract to its main state component\n",
      "unit 1772 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#RUN THIS ONLY IF WE FOUND POPULATED ISLANDS\n",
    "nSubGeoms = len(MAP.geoms)\n",
    "subGeoms = [MAP.geoms[n] for n in range(nSubGeoms)]\n",
    "subAreas = [subGeoms[n].area for n in range(nSubGeoms)]\n",
    "mainSubGeomNo = subAreas.index(np.max(subAreas))\n",
    "mainGeom = subGeoms[mainSubGeomNo]\n",
    "nonMainGeom = dummyPoly\n",
    "for geo in subGeoms:  #the \"nonMainGeom is all pieces of the state not in the biggest piece\n",
    "    if geo != mainGeom:\n",
    "        if nonMainGeom == dummyPoly:\n",
    "            nonMainGeom = geo\n",
    "        else:\n",
    "            nonMainGeom = nonMainGeom.union(geo)\n",
    "        \n",
    "print(\"Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\")\n",
    "hasIsland, isIsland = [False for c in range(nCounties)], [False for c in range(nCounties)]\n",
    "isIsland =  [False for t in range(nTracts)]\n",
    "islandXshift, islandYshift = [0. for t in range(nTracts)], [0. for t in range(nTracts)]\n",
    "islandList = list()\n",
    "for c in range(nCounties):\n",
    "    if countyGeom[c].intersects(nonMainGeom):  #this county contains an island.  Find all its island tracts\n",
    "        hasIsland[c] = True\n",
    "        if countyGeom[c].disjoint(mainGeom):  #need to connect the whole county\n",
    "            print(\"county\",c,\"is completely disconnected from mainland.  Move it to adjoin mainland\")\n",
    "            isIsland[c] = True\n",
    "            countyDist = [999999. for cc in range(nCounties)]  #default, to avoid picking island counties as closest to this one\n",
    "            for cc in range(nCounties):\n",
    "                if countyGeom[cc].intersects(mainGeom):\n",
    "                    countyDist[cc] = countyGeom[c].distance(countyGeom[cc].intersection(mainGeom) )\n",
    "            closestCounty = countyDist.index(np.min(countyDist))\n",
    "            p1, p2 = nearest_points(countyGeom[closestCounty],countyGeom[c])\n",
    "            for t in countyTractList[c]:\n",
    "                islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "            for t in countyTractList[c]:\n",
    "                plotPoly(tractGeom[t])\n",
    "                plotCenter(t,tractGeom[t])\n",
    "                plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                tractCP[t] = tractGeom[t].centroid\n",
    "                tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                plotPoly(tractGeom[t],0.2)\n",
    "        else: #move only the county's island tracts to connect with main geom\n",
    "            mainCountyGeom = countyGeom[c].intersection(mainGeom)\n",
    "            plotPoly(mainCountyGeom)\n",
    "            plotCenter(c,mainCountyGeom)\n",
    "            for t in countyTractList[c]:\n",
    "                if tractGeom[t].intersects(nonMainGeom) and t not in skipList:\n",
    "                    if tractGeom[t].intersects(mainCountyGeom):\n",
    "                        print(\"unit\",t,\"has island pieces.  We will reduce the tract to its main state component\")\n",
    "                        plotPoly(tractGeom[t],0.2)\n",
    "                        tractGeom[t] = tractGeom[t].intersection(mainCountyGeom)\n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                        tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                        plotPoly(tractGeom[t])\n",
    "                        plotCenter(t,tractGeom[t])\n",
    "                    else:    \n",
    "                        isIsland[t] = True\n",
    "                        print(\"unit\",t,\"is a true island.  We will move it to adjoin the mainland in same county.\")\n",
    "                        islandList.append(t)\n",
    "                        if tractGeom[t].geom_type != dummyPoly.geom_type :  #island tract is multiple geoms.  collapse to its largest isle\n",
    "                            isleGeos = [geo for geo in tractGeom[t].geoms]\n",
    "                            isleAreas = [geo.area for geo in isleGeos]\n",
    "                            biggestIsleNo = isleAreas.index(np.max(isleAreas))\n",
    "                            tractGeom[t] = isleGeos[biggestIsleNo]\n",
    "                            tractCP[t] = tractGeom[t].centroid\n",
    "                        p1, p2 = nearest_points(mainCountyGeom, tractGeom[t])\n",
    "                        islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "                        plotPoly(tractGeom[t])\n",
    "                        plotCenter(t,tractGeom[t])\n",
    "                        plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                        tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                        tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                        plotPoly(tractGeom[t],0.2)\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9a94118d-5863-4458-b77a-67d18cf01c2c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\n",
      "This would need adjustment for multi-county islands like Michigan UP\n"
     ]
    },
    {
     "data": {
      "image/png": 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ZDOKtr6N07272rF1F0ab1SCnJHTuBC+/+ESNPOKljDJEIIHpgUfneHz7jzdIanJ0IhCYk8xLjItG1MFADu0KhUPRllFDpReqrKindu4vS3buoPHgAf1MjZiBAY20N6UPyGH3SXAaPHsu+DWvZt24NB3dspbKk+Ij1GQ4ng8eM4/QbbmXkzFkkpKZFre9S9MyisrmqET9w+9jsTo/Pmzr42Dp2PDPgLEQKhUKhhErMqSjez7Zln7Fz+VLK9u8FwBUfT/qQfFzx8RhOF4MKhnN41w62fLaw5brMocPImzCJaedeRFLmIFJzhuBrbMAM+NE0HWdcHCnZOUeMg9JX0DTBRWmJ3H79tKOfrFAoFIrjHiVUYkRjbQ0f/f0vbP/8M5yeOEZMP4ETL7mS7BGjSMrM6jA1I6Vk/8Z1eOvryRo2gpTsnF7qeRf0wKFExNwR5XhCvbAKhWLgoYRKDDi0czuv/+F+TL+fs751J+PmnIJuOLq8RgjB0IlTYtPBHtDTCQYRhUBxijYoZ9o+jZQS6TMxa3wEy70Ey5uwvEHQBEITaAkO9EQnmscgWN5E4HAjwfImzHo/VmMQ4dDQk12kXDgCR4ant29HoYgJSqhEmfJVu3nuN3YuozlnXEPhqQt6uUeRQSKo/+Jdfnn1R/ZzzeCCH/yMqZPGdHmdKSQbGn1dnhMzhIYQQayf5wIBgq4JOO/9uLd71XOUAOzTVFdXs+PFlaTuFbhxAiCcOlqcAVIiTYnVGGgNxSzASHNjZMbhzElAizMIVnlpWl9O07oyHPPze+9mFIoYooRKlLB8JjXv7KFhWTHTR57L6p3v0lRR09vdihhTr/oGRbv3YkpJbXUNjq2fsb/44FGFikCQovWNX/2OU6/C668HM4hj33M4vGt6u0sRoG+8tgrbelJSUsLatWvZuXMnVVVVAExPHsWZV56PkelBS3C0m/aVlsSqD2A1BdBT3WjOVp8z394aKp7fipbgIH5m587oCsVARAmVKODdVU3VKzuw6vykXzya/BNPYdO1iwbUGHLuhWe37G/etJV3/vczDFfXGbUBCtwOihv90exat9Ezs9Gv+TEA3uecOLf/qZ+/Rcqi0heoq6tjw4YNrF27ltLSUhITExk3bhzDhg3j5X+9hJbuxjW88zxVQhPoSU70JGe78vplJVS/uQtnfhLpXx3b4bhCMZBRQiWCmPV+qt/YRdP6cpzDksj8RiFG+sCfRw747Kkcw3n0L88yf5B0p/rYRQ3lo9KKlNBQBhW7IHMMxEVvuX5NTQ3btm1j27Zt7N69G03TGDNmDGeccQYjRoxA0+x8Uh7hRAvzPfLuqKL69V3En5RDyvnDEfoAyU2lUHQTNWJEiKZNFVS9ugOA1EtHETc9C9FHpjiiTcBrJ/fTnUe3qPgtiTuCiQUVbRioPiqBJqgtgaQh4OjkMxb0QXURVO2FxgqQJtQUw+pnoGY/WxhByeBz8BSeR1paGunp6aSkpOBwdO3Q3hVSSsrLy9m2bRtbt26luLgYTdPIz8/n/PPPZ/z48Xg8HX+k2JFuuv+9IC1J9X924hqRTMoFI46b7xSFoi1KqBwDljeIb1c1DSsO491aiXtcGqmXjkJPOJJlof9+yTQ1NvKHm67HGWyyw+djB32T9joeDMDdyRdzZ/TWq+BfuQjtvzcjZPPUk4U9dEic0gdiIPw59N/PWAeaqmHhA7DqnxBsAlcSjDkX4jPAWw1V+6ByD9QeoMO0l+GBiZfCqLP45JWFlJY4cJR9QiAQaDklISEBh8OBw+HAsiy8Xi9erxfLsnA6nbhcrg5bAK/XS2VlJTU1NRiGwYgRI7jkkksYPXo0bnfXYl1KidC6L9SDlV6CFV6SL1QiRXH8MhC+mWOC1RggWOElcLiRwKEG/Ptr8RfXgQVGVhxpV43BMzkzKqHq+wJ1NTW4g400jZxFVv5Qu1BaLb/iXQmJnDB+6FHr6c0f/XL/Bgx5CF/erUjNsKdJhAYIhNAgZyyu3uteBBggFhV/I6x9DhY+aFtTTr4Dhp4E+5bB9negpAmc8ZA6DHJnQtowSC2wH/GDQNNB6BASBNqri5iZ6ePcb/+M2tpaqqqqqKyspLa2lkAgQCAQQNM03G43brcbTdPw+/34fL4OWyEEHo+HCRMmUFBQwLBhw8KyzEgk4aTBlH4TAD2u59YfhaK/o4TKEZBBC+/OarzbKvHtqCZY3mQfEKCnuXEOTiBlWhbuUSnd9kPpzxrGtOxBcNTMWVx5cc+XWEt673Vojt/iuvHB/v1mdEV/vq36Ulj+BKz4m20xKbwMzvgFJIXSKgw/FU67N+xq7XddIIQgOTmZ5ORkCgoKItbtsPsSxnskg/ZaZeFQ06WK4xclVNpg1vrwbqvCu6MK77YqpM9ET3XhHp1K0oJ8jAwPxqC4dksGjxdM0/66D9cR8MtIZO9phGZzzkAVKf3VR6V0Kyx7BNb/GzQDpn4NZn3LtpREij7ylsvQZGm3zw+EhIry61Icxxy3QkVKSdPGcuo/K7EDLlkS73Y7zoEjN5HEuUPwFGZgZMUN2OmccDAt+wtTC2N+/Uj02qspLaQMZ5joZ0jLnvLoD1gW7FkIy/4MOz+AxBzbWjL9evCk9nbvoks4H8CQRQVlUVEcxxyXQsW7o4qad/cSOFCPc1gSMmAhAxYpXxlJXGEGWhTmg6WUrFz5Juuv/hBo7/mvCY0zrr2NUWfPjXi7kcI07S9M/ViFSri270gy0LMLW6ZtkejLVBfB2udh7bNQvR+yJsJXHoMJl4ARvdggfUueKouKQhEOffxbLbL4D9RT8/ZufLtqcOYnknnzRFzDU2LS9vwrbqFs9x77yZdM9CuXv0HF7n2Mou8KFUs2W1SOdeqnN2deLAa2UAmAHiWnS8uCvYuhZA0gbMfVUWeCM+7I1wT9tq+Jrw4OroM1z8Kuj8ERB4VfganXQd4J0f9ASNlvp/uUj4pCcZwJldqP9uPbVUPa1WPxTMygccVhaj9cT8LswbgnpEd1imfcxfMZd4RjK658nYqK4qi1HQlapn6OMdiU7aPSO4OGXrcNIcxeaTsmWEF7xcuXKd0CzgRIyetZvWYQXv0mbHoNXMm21vPWQFw63PAuZI5uf359Kbx5p71CR1qt5bknwIV/gglfAVdiz/rSA2Q/FqcyaP+oMat9WE4NhB25Vk1HK44njiuhknhKLt7NFVSG8mVY9XZMBd/uGoRDY8gvT+61vh0u2dVrbXeHSDnTInvPpqFVDYRcPl1gBe2pn9oSKNtq7y99GHa8bx8fPNVeOTPnLnB3HsK9U9Y8DZtfh8uetKdohLCjvT5/Jbz7Q7j21dZzA1548Wo7xslZD0BKvm3lScm3o8MqwjLuuIYlgSE4/IdVLWXO/EQybixEc/e9r+9glZe6xcUEiuvR09wkLcgnWOFF+oJ4JmSoKSxFj+h7n/Qo4hqaRPwJ2TQsP4QzLxFHVhxxUwdx+KHVyIBF8Q8/JeGUXJLPLoCghXDExjFRoDFh6ukxaaunWFakVv3Qa0olmHcF2uZf9+Pf10fBClmLnpgPdSX2flIunHU/JGbDlrfgi8ehbDt89fmj11e0Apb8Eba9AyNOh8JLW4+lj4ApV8Onv28tayiHV74BhzbA9W9D7vSI3dox00/fdCPdQ/Zd0+3wCEJgNQWpfGErTRvKeyUxobQkMmh1uvLR8gYpf3IjVlMQ18gUvFuraFpX1nI8bloVqZePVtYgRdgcV0IFIPWSUaReMqrluQyYOAuS8O+tBaB+UTH1i+xpmMTT8kg+qyDqfZJYfPbRc6xe/Fa70s7PlV8u6PDEkha6ZnDhHT9iyMzCiPQxclM/vUg/Xb3bbYpXQOVuSMiCG9+zrSZpw8EIhbErvNSevnnpetj+HmRPgrItkHeiHUCtLR/+Aj77A2SMgXN+DZOu7NietMBfD4t/a/urvHyjHU326n91KVJqnniOxj3NUz+y3daSHqS0/V50vZy2b1r74U1+qVC2PISwaI46LITFyYGTqW3cf8T+9HWMdE+7WE017+0lUNYYVh0yYOHbY2dv1xKd6IkOtHhHt0SDb28NjWttweHdUolZ40O4dZx5iXgKM3DmJoKU1Ly3F7MuwKDvTMGR4cGs9RE43Iie4sK3s9rOV3RiDq6hSWH1XaE47oTKlxEOnUG3TgbsrMf1nx4AYf9B1n1ShGdiBs7BCVHtw6nn3EDNoUPd6a39/xG+W5q/dJrq69i8bTFVe4sjLlT0Y3Wm7cWpH5sB/GuusQIQ8J0VR57aGX8xZBXC81eA4YagF9JHwW1ftPq3fPp7W6TM/ymcfFdLhNcOFF5iC6NP7oeP77MdbL/5gS2OusB/2EJoPjxDfW10ir0jgw3UF+XjzijFEd/Q6fWyw05oX4ZSO0hh70uBlAZJh1OQon/HHG6La2gSjSsP4ypIxpmbgLQkmlPvsFrR8pl4t1XStLEc79aqlii3zQi3jtA13KNTSb1kVAeHXSkl1a/vouHzg+hpbjSnhmt4Mq6RKZh1frxbKql+faetCUP1pX9tHI4MW1TpSS70JPt1D5bZATOVU7CiJxz3QqUt7hEpuEekAPYvkIMPLqf0T2tI/9o4PIUZUWt3+vWXHv2kMGgorWDz7YuJ5KBshYSKEBGIo9J7Ed96qd0YIaVtGenK/0QIKJgDhzfB9Bsgfxa89HXY+RGMPtMWHYt+Daf+CObc3bVDRdpwuPjPdoj7ip1QMBfc3fu17EhoJPmmr3d6LKVbNXSfwz/+ANlZMsN+SvL5wwlWNFHx9ObWQl2QfvU4XKNS8G6tpGldGU3bqiBo4RgcT+KpuXgmpCOcOmadH7PGF/IdMan79ADBKi/J5w6zxUWiA6FrlD68hkBJAykXjiB+Vk6HXENJp+Zh+UwChxsQuoaR7j6i30zDikM4hiRE/UefYmCihMoREA6N9OvGU/aXdVQ8u4Uhvzq5/6RXl81fKJEbmJtD6OuRmPoZwEaNXkV2c/n1Ob+Gs0NpBKSE7Inw4c9g4f328uPTfwzzvt/9djPHKEfZcDjGz78e7yDzW5MJHm4kWO1DaIL6JQeoeKZVuDhyE0g+YyiewvQOKT6M1PaizT02jYqnN1H253Ut/dM8BlZjEICE2YOP2BfNpePK71qcmjU+vFsrSbl4ZDi3qVC0oIRKF7iGJpF4Wh51nxRx+KHVZP/PjN7uUphETqhYIUdN/RitIaaU9Gbs1PACmPc3wphXa34fhYBzf2ev1GmssMvmfC8qvestBuI7LoTAkR2PI9v2LXINS8a7rdJ2ZB2WjJHRvfxjYH/PZf/gBIIVTZh1fqxaP2atHzRInJt7zH1tWHUYYWjETc485roUxydKqByFpAVDqfukiGB5E5bf7B95fkKDUCQnOnx1dQAsfPhXLHpUt2vv0IBd4Da9AJhCI6C1jzZ6qgTXLnj46v/rdtuRGmgKk/cwJzNIP7GLxY78WfCD3VB3CDxpR/ZJ6c/0Ka0S+c4Ih3ZM09OaS4/atEzj6lI8kzL75HJqRf9AfXKOgtAF6V8bR8WzWyj/2wYGfXtKb3fpqLQuhIicVEnX/QDEDR2Llh4yBbexrog2v9BldSnm3o24Js7DZRihPoXEU1OAUYaDhK6WfncqgI79y13f94+Oq6YUrSTGfrlrLDBNE6832NvdaKVPiaboI00LLSFKEZMVxwVKqHSD5l8q/v11+PbU4BoWRrCsXkCGBEoknVabV/uce8GZjD35lIjVG0uK/rEG9mw++omKAYUAKiore7sbxy2OQXEED4e3nFqhaMsAtPFGh8E/nQVA9eu7WvJv9FWCATvirhHFJG8KRX9BIMgc1Hf8I443q56RFYe/uK4lwaJCES5KqHQTLc5B6iWjCBxqoOrVHb3dnS6RQdvMLYzI+9NYEZxOijn9ue+KHqNpOg5H35h6EG3+P16In5mN1RikbsmB3u6Kop+ipn7CoHmetXF1KcFKL84hCThyE3EOScDI8HSIM9BbGE47yNIHzz/Kx/96oqVctNvpvK/tpouE7VkihEbA9Nll/v77q0jYKRF7uxsDhtqnXqRhexz2aqM2kWGhzXNo53QkJGZgEO6U7gQ4jAx97x0/vgSzIzOOhFk51H64n7jCjLBWJCkUoIRKWLjHpZF5yyT8RXX4i+vwbq2kfomdU0U4dRyD43HmJuLMTcAxJAEjvXfES1x2GnNOu5qGKntevn2U/fZfki1maBn6LzS+SEvavi5SIi2LxvoadpesIcGVEv0biBbKohJR/CV+hHDgya9vr0lkKDps83Nofe0lQBOeGV1Hr404fUStCESLD9nxhDM/EZaWUL/iECnnDOvt7ij6GUqohIEQAtew5HbOtFZTEP+BegIH6vAfqKdpcwX1n9kmTuHScQxOwJmb0GJ9MdLcURcvmqZx4q1XR7TO4i82sPsPa9D1/vuRafsbXxEZjLgGkm/pPMKsonOkdfx9Cs36AGiCpPn5vd0VRT+k/446fQTNY+AemYJ7ZEpLmdUYwH+gPiRg6mnaVGHnEMIWL7ZoScA5xJ420tPd/SajaH/+MSik1SZqr+LYkRCBlArRpm+946J//xH1ED3BAcehQFNEBiVUooAW58A9KhX3qNSWMrMhQKBZvBTX0bS+nPrFIfHiNnAOiW/xd3EOSUBP61vipQ915Rg43tZbRBkp+poK6BwpkKJvvPMCjsupHz3F9pur/WAfyecO61PfbYq+jxIqMUKPd6CPTsU9uhPxUhyaNlpbRv2iYgCEx2gRLc3WFz3Vpf7AjwHprcOtB+HnybSMsC2vZ5Re18RsuHugxm6JTCC+aKNpfkxzKf99+5ccefLvy6mYuzredbloJ4hlm3IYMy2AwMVnb/3JFi0taQ8EAsGI/B+QPfGsrm6nX+IcmoRreDINnx8k6YyhiP4Q4VvRZ1BCpRfpVLzU+0NWF9v60rimFDMkXrQ4w85AOiTR3uYmoKfESLy0tNF/fw1WaEPYcWg4p59cYJvfpdW6pc3zSFG8HGpLIlefokfouoXhMNG0QW1KmxcKH+lvR3S+3+nfWudit2PdAi1okuJIxm3YFgb782efV669Q3XpSrIZeEJFCIFwGwi3AUELlFBRhIESKn0MPcGJZ0wanjFpLWVmnb9lysh/oJ6G1YexFhYBIfHSZsrIkZuAnhwN8RIKgd+PzdZBDDbVZHH6ta/FpsF/Xgh7P41NW71C37emgC0YUlPHMu3sX/V2V7pk0buLkKL/Lv8/GikXjuDwQ6uofnsPaZeN7u3uKPoRSqj0A/REJ56xaXjGthEvtX78B+rwF9sOuw0rD1H3iR2RVot3tFhcmlcb6UlONW1k+onp4NqPRV336Cf3118cqKWGZOAKFSPFRdL8fGre20vSgnyMFHdvd0nRT1BCpZ+iJznxJKXjGZfeUmbW+vAXtzrsNiw/RF19SLwkOGzRMiShJdaLnuTqdnsDQeNIS8b4PvrJQH4s9JcPRh9xpu0KgQYDWKgAxE0bRN3iYg7/YRWJ83JJmJfbPzLSK3oVJVQGEHqSC894F57xtniRUmLW+kP+Lrb1peGLQ9R9HJo2SnS083dxDrEtL10x4I0EkURGftBZ9u7zGKv+jo6JLk00LDQsdEwGB8vYb2Vy708eB5qjDIsWMdG5pDjyG7rOlwPAYKOWQXpDu2MCyc2+bEaQyOafftpc2FqjACZmcMql43p6qxGkn4gpBGWBd/j8rdWdHuuqrCFuIwDxTYVdVd+Ro/5Bd7xIw0Xh7N8Slzr0KNd2RE9wkn33dGoXFlH7SRH1Xxwi+ayhxM8YmJm7FZFBCZUBjBACI9mFkezCM6GNeKnxtTjr+g/U07CshLpGOz+QluTENTSJuOlZuEentgSnGxD6JNbjlYz8qhhj6xuMDmxlf/IMLKFjohMQOqbQ2RosYJvMY6LTgWzrKHwEwXS0McpoqmJVXSoTEptIcwQ7XLfbV4NGPDhCJvw20Y2zqwOUb+kjGYsl/SLey5CEa6mpW9NFBrYjvGESmmWkk4wjX9rh8iN8NluK24YbttcyBamizrOK6pK1PRIqYIdvSDl3OAmzBlPzzh6qXt6BI9uO6q1QdIYSKscZQgiMFDdGihtPof2lJqXErPa1+Lt4t1VS8dQm9BQX8TOziZ+R1eb63up5fyQK8k5KShz5TLzr9U4PnxD5FnvER79c0ttdaEG0sSr1ZUbMva23u3BUGg8fYNmmeUjr2K2FRpqb5LMLaNpQjtUQ6PJcy2/SuKYUPcWFqyAJzdU6dEnTIljWhL+knkBJAzJg2hHBhyTgyI5HGH1fpCq6RgkVhS1eUt0YqW6YmEHSWUMJFNdT/8VB6hYWUfvRPupT6nu7m8eMlPbvwtg1GA1/A4v+MJUhRR9KzS77hU7pFwg99K5GKMqsluBAS3BQ8fxWks8uIOGkwR3OCVY0UfHsFgIHQ3YjDRxDEnFkeAiUNhI41ACm3R89zY1waDSsOGT/qegCR3Y8ifNyiZucGZE+K2KPEiqKDgghcOYlkpaXiHX+cBrXluJdZActe++5h5lSeT6Fp56BOyGhl3saJrEerWTkR0ghJbIfTGP0ranC/mFR6Q8Izf7sRcKiAqC5DLLumk7Nf3dT/cYu3KNTMdJbsys3bauk8sVtaHEGg+6YhjAEvt01+HbXECxvwpETT/y0QTgGJ+DIiUdz20OaDJj4DzYQKK7Hu72Kyhe24j9QT/LZBX0my72i+yihougSzW2QMGswI07M4aqNOaxb+A6fPv9Plvz7WcbPOY0pZ51H5tB+kg011p7ApZvBCh79vLCQyH5gUYG+ZvfpW73pt+j2Cp29JY9y4MDzreWhl1fDTeHs3+NJzel+lfEOUi4eaWejX1pC8rnDMOsDNK44RO1H+3GPSSPtitFocQ4AHJlxJJzYdf3CoePKT8KVn0T8STnULymh5u3dBA7Wk/7VsS11KfoHx/TT7MEHH0QIwZ133tmufNmyZZx++unEx8eTlJTEvHnzaGpqOpamFL2MEIIhEydw7u3/w81//gcnXHQZu1cv5+kf3M6/fv5Dtn/+GZZp9nY3uyTmA7zpj3ydUbDSRIM+ZVGRyqISKZyJaQwKfAUPQzFEUuuDJIQ0qPV8QW1J+CkjNKdO/Ak51C8t4cCPl3DogeXUfrSfpPn5pF83/piEhRCCxDlDyLixkMCBeg4/utaeLlL0G3psUVmxYgWPPfYYkyZNale+bNkyzj77bO69914efvhhDMNg3bp1aFrfN1crukd8SionXfpVTrjocnau+Jy1773Fmw89SPKgLE657ptkDRvJ0n8/R96EiYyfdzoN1VXEp6QefwHnBo2D0i0RrrR/+KhA3wpdcrx99KKFpmlMPOt3nR6rLd7Ciu3n9/jvPPGUXLQ4A81joCU6cWR4MDI8R7+wm7hHpjLoO1OpeHozpX9eS9oVY1oWFCj6Nj0SKvX19VxzzTU88cQT3Hfffe2O3XXXXXz3u9/lhz/8YUvZmDFjjq2Xij6JbhiMOWkOY06aQ+ne3Xzw+MO88bvWMOWbFn3Iu39+qOX5yJknMfqkOeSOm0Bimv0FcWjXDnavXkH+hEkc3rMLb0M95fv34HR7OOOW72I4Imuijel4ZZkRb1FIC0v5qISHsqjEhJb0Gj18rTWPQeK83Aj2qCNGmpvMb0+m6qXtVDy7hcT5+STNz1d+K32cHgmV2267jfPOO48FCxa0EyqlpaV88cUXXHPNNcyePZtdu3YxduxYfvWrXzFnzpxO6/L5fPh8vpbntbW1PemSopcZVDCcr973O4o3b2LnimXUV1awd91qEjMymXrW+Xz05F/YuWIZO1csA+D2p/6Nphu8/rv7qK+sYNnL9ny3phuk5+VTtnc3lmXhTkggbXAuU87q+S+1FiSIWP7Mt8woONNaSPp+JE9BH4tcr4RKDAg52Pbx11pz6qRdPZa6RcXUvreXwMEG0r82TomVPkzYQuXFF19k9erVrFixosOx3bt3A/Dzn/+c3/3ud0yZMoWnn36a+fPns3HjRkaNGtXhmgceeIBf/OIXPei6oq+haTr5hZPIL5zU4djE+Weh6TqfPv8UK954hYevv6Ll2MiZsxh14smMnT3PzrKqafznt/exdcmilnMWPv03Rs6YhSs+nu1fLGHoxKmc+JUrGFQwvNv9i3z4ta7ZWzOaVYevg+89bS88aT4gWnvTvFy69btdEjAtkl0bGJy4muYF1QLbxybfu5MDcWNjeBc9o2995YsusiQrIkboN8DOHQ+wZ/sjdkGbxNK68DDplIdxJqQeqYaYIYQgce4QmjaW49tVjfSbdmZnRZ8krHemqKiIO+64gw8++AC3u2NCKSu0ZO2WW27hhhtuAGDq1Kl89NFHPPnkkzzwwAMdrrn33nu5++67W57X1taSl5cX1k0o+j66YX/UZl16FTVlpcQlJdNUV8vg0WOZcuZ5aHp7K8GFd99L8ZaNpA3Jo3TPLj771zNs/2IJcckpeBKSKNu/l2d/eCcZQws49dpvkjt+QsiKs4asYSPIGj6yQx+klDGNo1IUmMyhwFjGZu5p04fQtqUg5OTbplv7KtKoC0wiPX1PywXN/d7vmIoc/5UY9P7Y6SvTP7Z1RwmVaBOfM4L0bWdhOuptcd38WZcQDNRQk7iMmi0bSZ8wC+HUOw3EZjUGMBuDGOnuqPq0SSmpemUHgYMNZNxY2LKsWdE3CevdWbVqFaWlpUybNq2lzDRNFi9ezCOPPMK2bdsAGD9+fLvrxo0bx/79+zut0+Vy4XJ1Pzmeon/jdHu44M57jnqepuvkF04GICE1jWFTZ1BTepjkzEEITcMMBvno739mw8fv89Ivf4TQtJbYDobTxegTZ1NTVoo7IYGZF15GzqjR0Yho3zW6i7S4Cub/9BthXXb/Tz+FxhRu/N5/otOvGCBi/Vp3hfJRiQmGw8OUM/7c6bGqqpWsXnMlte+W4Hvlc9AE7tGpuMemoie6sJqCNK4vw7ejCiRocQZ6khP32HSSzhwa8WmZ2vf30bi6lLSrxuAekRLRuhWRJyyhMn/+fDZs2NCu7IYbbmDs2LHcc889DB8+nMGDB7cIlma2b9/OOeecc+y9VRy3CCFIyWpNXKYbBgu+eRvj5p6GtCQHd24jNTsHT2ISq995k5qyw4CgsuQAL/70+y3XeXQBlgUxWIUmexqZVog+tWKmp/SdWxB9RzQdp0hp+yGmX16IK5hFsNpH0/oyql/f1fJBcRYkkXKxbQkNVnipX1xM4FAj9UsP4BicgBGKOisMDeHQ8e2twUj3YKS6MOsDBMsaMWv8uEamEDd1kB0ArpPMzPWfH6TukyKSzx1G3JRBMXsNFD0nLKGSmJhIYWH77Jzx8fGkp6e3lH//+9/nZz/7GZMnT2bKlCn885//ZOvWrbz88suR67VCgW11yRs/EaCdX0zehNb9gN/Hlk8/oWjTBrYuWUST6YC/ngzf/AiccdHtoGX1yHwtB8C42qf6L5WPSm9jWXZMIc+wTFwue8Vf4pwhSEtiNQQQuugQKyVpQT7+/XUEDtjZ34PlTcigFXpIrHo//r21dhj+eAeOQXEYmXE0ri2j4fODYGi4R6XgGZ+Oc1gySIm/uJ7q13eSMHswCXOHxPx1UPSMiE/M3XnnnXi9Xu666y4qKyuZPHkyH3zwASNGjIh0UwrFUXE4XUyafzaT5p/NtAVnwj/PgzqDSP/el5bFol8/RW1N64BYVTcEV0/CQAhwNZrcd88iklPd3Pb9mWh631+S/GXG1Fu8+3/LKbxoFLkFvetAKfrBku6BjGXZFhVNaz/NLzSBnujs9BrNqeMemYJ7ZEpYbSWfVUCwognf7hqaNldQ9eqOdn/unsJ0ks8ffvzFderHHLNQWbhwYYeyH/7wh+3iqCgUfYGc8ZNhyjzY9REsfADmfg88kRlAZdBk074CMh07SUqx/6yy0urInRS+Y/iUk4ewflExsi6AtreBproA8Sn9y49LDk2keHsNhQd9bFta3KtCRaCF5aNSW3WYQ0WbqSrfRmPDbgLWXqSoAJwgXQjcCOFCE2404UFobnTNg6670XUPuuHBMDwYRhwORxyGMw5H6OEynMS5XRjxqWjOuOMmEGarUOlclEQSzWPgzE3EmZtI4rxczHo/gUMNCE1DODUcgxPUUuR+hnJ1VhxfzLkLtv0Xlj4MZhDOeTAi1TYHu8qbkM1Jt154THWdt2AY5y0YxqPPb4DFZZHoXsxZcJ09/bb3h4v7hiNrJ12wLIuKw3so2buCqsp1+IJbEK696M46AKQUWFomyDwcYhySABZepPRhyRosSgEfWD7Ah8CPwIdGELqT4skEEQAR0NCCGrrPTYIcRkrmLDImXEjCkPFHr6OfYFpeoKNFJRboCU70kdEXSIrooYSK4vhBSti/DBCQPwtm3x7RqgEOl0Yukq6hiW6Nd32d3pQpX46WWn5wF3u3f0hV9VKkcz26yw4wGRRpaGIUbr5CUtwYMrPHkjlkDA5H+HN3ZjCA39eI39eA39uA399I0N+I39/I4SefwFOyhsRLLgCnhWk2YplNmKYXn3mI6vjNVBgb2LXtCcQ6ge53oJseDDMOgwRcIo04I5/E9MmkjDsNZ2b20TvUBzCDDeh6vJqCU/QIJVQUxwf+Rnjzu7DhJZhzN5z+Y9AiF+G12YI/dnTkkm86DO2YhMrbGw7y7sZDVDcFSPE4+L+rpoQ1L7+/opGPtx62g/AJmJafSuGQ5LD6IKBXLSrSsoVK6cE1bHzj/3Ak7LUtJWIkHs4jLWkGuQUzSMmIXOh23XDgMZLxxHd8rTJuHknJV87HP6aAwl98p9Pr64s3Ub75TRprt+NvKCVg1WBqjXiNauqTdlGa/AUEX4K14KgwcDWlEWcMJTFtIsl5s0gaPRvdHbkcOZEgaNaj6/G93Q1FP0UJFcXxwZY3bJEy9WsRFykAstlbL4JjskPTaAIsK3zH3+2H67jt+dWMzU6iuLKROl+Qu84YzbCM7g8Wj3+6i2c/349T1/CbFmeOz+Lx62aE1Q8d0aszP6WrDwMQtPajM4SMuJsYMe4MEpLTe6U/qWOHsitjGNqG9Uc8JyF3Agm5E4543O+rombPEmr2L6NO20STp5jyxFWUelZA+ZOIA+CocuOQyeB14DMSMLJHk5YxjRGFF+F0JUXj1rrEDNZjGAkxb1cxMFBCRXF8UDAXUgtgzbOgO+GsB8Bwwf7P7emg8u3283N+Y2/7AA7dHuH9VvjxWNYVVSMlPH7tdBr9Jmf9cTHl9b5uC5Umv8mHm0tx6ILvnD6Shz7czrdP6xjtt69j+uzXLm/yzzhhan4v9yaE24P09dzy5nSlkjn2fDLHnt9SJqWkqWoP1TsXUVu/mgaxE3+wnIAoJegR+NmGt+YNihf+LzSOY9yk75E74pRI3E23UBYVxbGghIri+CB5CNy+Bj74CSx7BNb/G5wJUH8IHPGQmAWVuyFnMsy4Mfz6ZeTDmxmhJcn+QPhCZfNB2/fi3Y2HuGKmvfJof0UjMwvSjnptSXUT3395HRUNPhaMy+Lxxbu5amY+U/JSwupDc0oNenGFhSvZhReQTX3jq85XWYPz0C7Muecf/eQwEEIQlzacuBOGM5gbWsqXn3cOnsZGpn/0EcU7F7Fn+wt4HUvYtu9Gtq6dwbzzn8Tpip6AkNKkumY1tbUbcDjCmzZUKJrpG3+9CkUs0DQ48z4ovBR2L4RAI+RMgdFnw+EN8Pip8NZdsPW/kJAFhhvcSTBkBow4DZxdfKG36JTIDcpGaID3m2bY1147ayj/WLKXTSU1aMIWKt2RUh9sPsxNT6/E49D53eWTeXfjIRy64AdnjQm7D7IPJNN1pdlCJVDjO+q5sWDL//wKwwoy5FvXxqZBIcCSaJpB/uj55I+eT8DfwIpFP6Yx+Q0+fPMUpp/wN7Lyp0SsSdP0U7z7PZrMFZSVv4/fX4bLlU1e3tcj1obi+EIJFcXxhRAwZJr9aMvgqXD7anjv/8GBleBJg4ZSaKqyj6cNh++sjLhvS1foIaHSg5kfhmcmcN6kHN5YV8I954xlTFYiH2w+xGXTj+w06g9aPPv5PjISXPzmsonc+NRKAH53+WRS47u/vPOzHeV8uOUwpmlyC6D1olLxpHqoAQJ1/l7rQzNF/12Cc+lb+C/8JukTYxMAU2haB2ufwxnP7DMeYu/W09nmu4e1m64gY++NTJ3zgx7HdfF5q9m04s+UlX4InmIMt4ku0hmcexGDBp1NctJUteJH0WOUUFEomkkfAVe/2L6ssRL2LMb7r9tY8vPHMOI8OB1BbMtJKNmdBNPSgMj6QDQvre3xzIkES4IvYJHoNnAZXYusN9eVsGh7Gf+4fiZjcxJbyi+dFl6o8ee+2Mc7Gw/hFIJbSGR8mCuFIokRZxCUErM+0Gt9ADC9Psru+wWkDWXyLztf7RMVhGg1bX2JgrEXkJEzjSUf3kC16wnee/1Vhubdythp13dbsOzb9gE7t/4V070ezbCwRBou/yy2vXOAU6/6CaNHnRrBm1EcryiholB0RVwaTLiY+nl+tr6c0VLs0Hx4jHpaJlQkpDhLSR8ZOYfT5sU+4UTR9AZMFm4rZcXeKj7YfJjvnzWG7GQ3Gw7UcHZh+5gbUkpW76/mUI2XXWX1PL1sL3FOnbmjMnhzfQkAr3xrdreWNC/eXoahCZI8DpbuquCrJ+Tz83PHUfbzZXg6SQwXS4JCYDb2bkSazQ8+ibuqmOSH/4HuimHwMU3rcs4vIXkIZ136PptX/oN91Y9wsPZX7Hv9YVISziRv2DnkFMxGN9r3t6mhgo3LH6G86k2cKVUEDQcO70mMm3Q7OcNm0lBdxZoXrsXRo/wRCkVHlFBRKLpBxoIruH6GjzUf7mfdh0UkZKVxyf8swB0fuQBvX6ZZqOjdEApSSjYfrOUHL69nU0ktuakeLp46mGtPGkrAtAhasmUGwB+0WL2/ij8v3MXi7XbkW5eh8ZWpQ7jttJGYUvL797dz5vgspg89euj7mqYA1z25vOV5QXocPzhrDM7m/ES9HJnW1ASyqfeESmN5LeZr/yQ4cR5Dzjgxto0L0S1H7/EzbmDstK+zfe1z7K1+ggbxMtv2v8yW3QLT5wTTjQSE5sOI8yI0EOSQ6b6TcXO+icPZKkqCfnuazXCqaLCKyKCEikLRTeJTXJx4wXBqDjeyd0MFy17dyWnXjotae81TP11ZNCxL8vKqYp5csoeth+zQ7zfPG86Pzm3frytm5PK797cxZ1QGt7+whp2l9eQku3n82umcODydJLfR0s6Tn+2hpLqJp26Y2a1+JroMpuansGZ/NbefPpJvnTqCOKeBDJih/od96xHF1AX4wndIjhQ7H/wLDn89uf/7g9g3LgSimyvSNE1j7LRrGTvtWhrrS9m37X2qK9bio4ygrAEBGvEkaCMoGH0xg3KndVqPEiqKSKOEikLRTSzT4pkfL6WpLkBmfiKjTohu+HKLrn1ULEtywSOfsanEXor8xHUzOGFYGsmejlaee88dx8urirnkz0txOTRe+dZJTM1LRftS5XXeAI98spPLp+cxclBih3o6Q9MEz3zjRM75v8Ws2ldFnNP+WonCiu0eIR06ItA7QiVQ34B49180TTuT5HHDY9+BblpUvkxcwiDGTf8a8LWwrw367RVWDmffiEek6P8ooaJQdBPLlPiagjjdOpfeMx1dj+4qhubVPp1N/UgpufmZlWwqqeVrs/K57+KJXdaV5Hbwq4snsreigXMn5hwxFP5TS/ZS7wty5xmjwuprIGhxuMbH108qaNPJ0La3cxI6NbS63pn62fXkfzCCTWTdeXOvtN8bMWyURUURaZRQUSi6ieHUOf/bk3nzkXW89/hGTr1mLHFJ0fsybv4h3Nny3ieX7OXDLaX87ILxXNdWHHRBc+C3I1HrDfDEp7u5+oR8cpLDc4R8fe0BLCm5eGrbFULtEwL2FsJjoFf3ThyVhk8WQvpwxs0c2yvtIzouT44Wl/78ObY2ONGliWPw5eTsqufqyKVQUhzHqIXtCkUY5I1PY8EN49i7vpx3H98Q1basFh+V9uWr9lVy/9tbuH52ATecPKwl3sqx8uRne/AFLb59avgxPl5aVczpYweRkdDG3N9Hpn40jwO9t+ahKg5Ddi+O1mH4qBwrexoN0o0Apw91k5CewY/e2cPraw/EpG3FwEZZVBSKMBk9M5stSw5yaE9tVNtpFipthUhZnY9bnlnN5Nxkfnxe5Bx5axoD/P3TPVw7ayiDktxhXbuppIZNJbXcuWB0+wOh8bFpQzmBw4224GpWXaEwNHYsmuZi0TpN9KVzW7Iwtxxvf64QAmFoYNhbYWgIXUM4NAwNHIAZMNEdsV0qLeOTEFVlMW2zLXpdPe6auti0hWRsqsEfb78Y05Jc/4/l3PHiWpbvqeR/LyqMmKBWHH8ooaJQdJPq0kY2LT5AQqqb4q1VFM4LLxBauFhfCvjW4Aty97/X0ugP8vh1M1pyAR0rv3xrM5/uKCNgWdxySg+sKSuLyUhwcuqYzHblwqnhyEvEv78W/75aW7dIWqcimguan1rtn7c9LmUnx9rVc2TcgAU89f3PGDQihSGjU8gbl0ZGXkK3YsQcC/GnzYcnf0PZF5vIPPHIGZGjhWfXnpi1pQtJ0GoV10/dcAK/fGsz/1y2l9I6H3+5ZlrEPrOK4wslVBSKbrJx0QHWfVQEgG5oTF7Qtc/HsdI8Dj/25zXg0Cir97HTbOKha6a0n2I5Rv69ooj89Dj+cMUUMhPDq9cXNHl97QEun5GH40uDkNA1sm6bErF+doW0JJgWMiiRQavNQyIDJqUHG5hc6ePgjmpWvL2XZa/tIj03gcmn5zLmxGy0KA2gI759JZtffJJ9P/o5Ka8/jSMhtkHQmkaPwLUzNmJFR9I2f6auCX5+4QTmjsrgG/9cyatrDnDFjOj+zSgGJkqoKBTdZOqZ+VQdamT/pgouuH0yKYPiotreuDFpvP/ZIfQyL64g5Jtw57w8zpoQ2WXRlpR8ZeoQzp2YE/a1H20ppaoxwOVd5BCKBUIToOmII8Tfy8tPIg/gHDBNi+ItVWxcfICPn97Kqnf3MffK0QydkB7xfjkT4ki6+4c0/eqHbJh/IYN/8yDZp0yPeDtHwkpIoCkhup/TZtpaVNoyf1wW2UluNh6oUUJF0SOUHU6h6CbxyS7OuaUQsKeBos0JhVn8+KHTuPf/TmfyiTm44x2cf17kQvQ3Y0rZ48SBL60sYkpeCqOyuhdzpS+g6xpDC9M579uTuOL/zSQh1c1bD6/jvSc20hSF5IXDv3Ye6Y89DUJQcevXWf/932IGYrNcWsTQh1gXkuAR2jtU6+XpZftaghgqFOGghIpCEQaGUycjL4HV7++PWZuH99SyddlBZp5fQHxy5INoWZIeOToervWyaHsZl8/oP2tQG2p8rPu4iHcf38jKt/eSPjiei+6cwoIbxlO8rYrXfr+ahigsZc6eN5WJH72Bf+7FGG/+g7VnXEbdvkMRb6cjMmaLrwwk5hEyfd9wcgEA97yynp2ldXgDJi+tLOKZz/exZGc5O0vrWLy9jKU7yymqbFSCRtEONfWjUISJbmho2hG+kSNMMGDy0T83Myg/MWrOu1LKHsUFe3/TITQhOH/i4Mh3Kgrs21jB+3/bSDBgkVWQxPK1ZQQDJrMuGsGYE7PJKkji9T+u4bXfr+aiu6aSmBbe6qej4Yh3M/Xx+9j/n/kEfvZDdlx5LWNeepb4vKyIttOBGMWx0QUEjqAvfnbBBEZnJfLgO1v598rio9aVmejiyhl53HXGaLVaSKGEikLRXaSULHphO4f31HLyZZGfgumsvaWv7qLqUCNX/Ghm1Bw+Ldl1PqEj8dHWUmYWpJEcF73EjJFASsn6j4tZ8vIOhhamM//68bjjHXzy7FZ2rS5j1kX2SqeUrDi+8r1p/OehNfznD6u56M6pJGVE3vk1/+LTcGf9nYO33Mi2K65l7MvPEjdkUMTbgdgGBdY1MDvxUWnmqyfk85WpQ1i6q5zyOj/jcpIYl5PItsN1NPhMspPcmFKyu6yeT3eU8+eFO1m0vYw/XjWFEZkJMbwTRV9DCRWFohtUH25k4fNbObCtmuzhyUw6PfpOgVuXHWLDJ8XMung4mfnR8wExLcm6omriXXaMEREa3oSAnGQPMwtSOwiZRn+Qpbsq+MFZY6LWr2Nl/6YKPntpBwBVhxqZckY+J31lREt+I6EJDGd78ZeU4WkjVtZw2Q9nRCX68KCTCrH+8jcOf+ubbL38Wsa9+hye7IyIt4OM3dQPHD2vkNuhc/rY9hakCYPbp3MYlhHP/HFZXDA5hx+8vJ4r/rqMu84YzYVTBpPk7tuiWBEdlFBRKI5CwGfyym9WoTs0zrl1IsMmZ0Q9/gbAjpWHScmKY/rZBVFtZ0iKh5dWFfPSqs5N8iMHJXDtrKF8ZdqQloFiyc4K/EGL08dGxxIQCYq2VlF1qJHCU4Yw8/xhjJrRfoAM+II4XB0DwCWmubn4rqm89OBK3ntiIxfeOSUqeZ2yT56E9fBjlN1+C1sv/RrjXnse96C0iLcTM6EiRERbmz40jZdunc3VT3zOj/+zkR//ZyPDM+OZNCSZSbkpnDZ2EMMy4iPWnqLvooSKQnEUAj4Tb0OAmecVMHxK5tEviAAVJfVUHWwgGLCQUkZVGC3+wWkELavDj2EpYV1xNc8s28cv39rMr9/dysVTh3DtrKF8vLWUYRnxDO/DJvnMPLtvQwvTKZjY0VohrSNPeSWmuTnn5kL+89Aalry0k3lXje70vGNl8ClTkQ/9hYo7b2XLJdcw/rXncGVGTqxU7NtLXCAQsfq6QgjRmkkzQqTFO3nr9jm8sa4ES8KG4mrWFdfwn7Ul/O9bm/n2qSOo9Qa4aMoQZhZEXuQp+gZKqCgUR8GTaFsRdq8t44QLhh/xvNryJnRDIz7l2Fbm1JY38dL9K/EkOTjrmxOibr3RNYGudR5aftbwdGYNT+dwrZcXlu/n+S/sh64Jrp9dENV+HSsjpw9i1+oy3n18Ixd8ZzJDxqS2O360lzVnZApzrxzNoue3kZGXwPiTo+M0PGT+dKzf/5mq732LzZd8jcL3XsURFxlHXk9iIvgrI1LXUYmwRaUZQ9e4ZJq9suyyULyetzcc5OdvbOKNdSU0+IK8tvoAP7twAudPyiHOqYa1gYZanqxQHIWPn9kKwPg5na+6CfhNFj2/jWd+vIynf7yUNe/vtyOl9oC6Si/vPLYB3RBc+f9OIHds3/iVmJXk5s4Fo1nyw9P58zXTOHtCNl89oW8H79J0jTO/MYHBI5N557ENmMEv/doXHHUZbOG8IYyfO5hFL2zj0O6aqPU178yZJP7yD7jL9rD3ubcjVm9cYjKGK/JL2jtH2J7ZMeDciTks/38L+Oye01n4/dOYOyqTH7y8npMf/Jg/L9xJ4EjrpBX9EiVUFIouOLirhq1LDwIw6bRcpCXxNwXx1tvm9MqSBl759Uq2LDvIyZeNZOysHJa+upNV7+4Nuy1/U5B//2oFjbV+LrxzKu74vuc46NA1zp2Yw6PXTGPkoL4f5E13aMw8fzi+xiCVJQ3tjoluromZd8VoBuUn8t7fNuJrjN40SsFFc7GEjq/4YMTqlJYVs+XJCNEr8U+SPQ7+eu10PvmfU7lg8mB+//525v3mE+7+91reWl9CSXUT5fU+Xl1dTGmtl4+3HubtDZF7jRXRR9nIFIou2P5Fa1CuR2/9uN0x3dAwgxYJqS4u/+EM0ofYPhE1ZU2s/bCIKQvyMZzdz9a7+F/b8TYEuPzeGQwamhSZG1CQkZsAAsqK6tqvnurm+K07NM74xgT+dd8KFj6/jTO/EZ3puOY66/cewFdZjSMhDs15bCuObKESm9+jEmK7HvpLDMuI538vKuTqE/N54Yv9LNlVwaurD7Q7x2Vo+EKWtV9fOpErZ+b3RlcVYaKEikLRBTPPH8bg0SnsWVtG8bYqJswdQlpOPMGA1RJuvfCUITjd9p+SlBIzYOJrDGKZ3f91uX9zBds+P0TBxHQy8/q+paI/4XDppGbFUb6/Dk5uLRfQbZeKpHQPp149hvf/vomhE9IZe1L4eZG6g6UZJH/xGrtnv0ZQd+O+6yeM+uYlPa9QWnYepBggjyEVQyQZm53ELy4qxB+0WLS9jJX7Kol3Gswans6SneWkxjn4cEsp97yyAUva8V0UfRslVBSKLohLcjJqRlaHpa1HYvlbezi0u5b5Xx+H09O9P6+Kknr++8h6ckYmM++rY2I2sBxPZOYnUlZU177w6GE/2jFqZhb7N1Ww+MXtZI9IjkpSyvRH/k7d9r1Inx//m6/BQ/9LUUE+eQtm9Ki+mFpUpIzZLFN3cBoaZ4zP4ozxrX+7Jwyzfb6unJnPt55bxb2vbiA72c1pY/ruMnuFEioKRcTY9sUhVv53L6NPyGLMid3LcCylZPOnJQhdcNEdU9Edym0sGmTmJ7J7TRmWJVsCvvVklcrcq0ZTsquGD57czCXfnxbx+CqDT5sOp9nZlX3Xnc+WMy+k9Kc/JW/B2xS/u5SyV/4Lmgaahght0TSEroHQELre+lzTiNuzn/qMyGeF7gzZwwjHvYHHqfP3r8/k6ic+54Z/rABgw8/PJFEFlOuTKKGiUEQAvzfIJ89uJXdsKgtuGN+tL2xpSRb/azsbFx1gxrkFSqREkcy8RIIBi+pDjaQNtoOECcKzqAA43QZn3DieV3+7mhVv7WkJvx8NXCmJyLnnEvffJ1nzjR/iXvI6bsAbn4mQ0p7WkRZIGdpadjlW63HLpNITG3+ngCXZG+g/Adh0TfDsN0/ktN8tpLiqiYk/f59fXjSBa08q6O2uKb6EEioKRQT47KUdmAGL2ZeM7J5IkZLP39jNxkUHOPWaMUyYG52EgwqbjFDwt7Kiuhah0lPHz+xhyZxw/jC+eHM3I6YNiqpP0dh7vsnmjasxVi4EoGHqGcx44U/dvv6v3/oeIkZTP25Nkij8MWkrUjh0jc/uOZ3dZfWc/vtF/OT1TVx94lCVCLGPoYSKQnGMmAGLLUsOkj8hvds5eVa+vZfV7+5j1sXDlUiJAa44B0kZbsqL6xlzol3WE4tKM9POymfDomK2LD1I5pXREyqeQalMf+8FAKRphr3UWFommhGbr/mcBJ3yytgvTz5WLEvyg5fXAzA5L0WJlD6IsjUrFMfIkpftxHcT5nYvcumy13ay/M09nHjh8Kjn8VG0Ep/ioqm2zS9+IWis8VGyo+qoAfrMoMW2zw+yb2OFvbpF1xg9M4udKw/HLHaI0HXbLyUMpDQRR4g6rLCxpGR/ZSMA/7p5Vi/3RtEZyqKiUBwDAb/JrjVlpOcmdCsP0OYlJax+bz9jT8pm+jlDY9BDRTPueAdN9a1CZdjkDIq3VvLa79eQmOZmzKxsxpyYTUpW+9U8RVsqWfzidqoP24PZ6deNY9zsHLKGJ7H2wyKe+fGykE+unanYDiQnEZpA0wSarqEZ9lY3BA6XzilXjyEp3RP1ezbi6nCnF7Nq4W/QDQdCMxBCRwitzUO3HXHR0TQNsAVR87HW8+39SpGAV6SDJkKxUzQQUGWBV3Pw9p4y7FcDwD5HIhGyNdaKxJ7+DFqSgCkJmBaBoEXAtPCZEl/Qwhc0CezbR0F9PYGg2XJO0LSwLAureWtJLEsipcTCDo5rSdo9ly1biWmBhW1NszQNNJ1S03Y4vvtnz/LofdeGLQgV0UUJFYXiGNi/qYLGWj+nXTu2y/O89QGWvrqTLUsPMmHeEE65anS/WSExUPAkOilvs0S5YGIGQwvTObirhm2fH2L9J8WsfHsvWcOSyBuXRk1ZExUH6qksaWDwqBTOvrmQtR/uZ/G/tpM3LhUjlFOmqd4fGuDbI6VEWhLbr1WGntvH1n1YxNwro5PosC05J+4gLusQ1dZ6iJD7iIXGt/g79aK9k66RloNRU8+3H1semYZaa0azBA5pYligSYGGhoZEABoSDVsSaYCQst2x1m3zebSeLy2EFWCiLGFD/GDGrviQqmcg7etfj/A9KI4FJVQUimMgPtnOoxLwmUc8p+JAPe8+vpGmej+zLh7O1DPyVayUY8SyJBs+KSbgC5KU4SElK46M3AS0LpYLO1x6h/dJCMHgkSkMHpnC3CtHsXd9Bds+P8jGRQdIyYojZ2QKJ5w/jOFTMxFCkDs2ja3LDtFUF8AK2Krjuvtm40nsXgTZhhofT92zBCtGOXGc8SnIhqHMmf8wAb8XywwAEssKIi0TKS2kDGJZJrTsW3a5ZWLJIEiJlCZSmmyt3YBR+xi/SIdMp6c1W7KU+FLSqJg+BHdcG4tUaMmyCJ0DgAhZnSQ4dIHD0HDoAqeu49Q13A4Nj6GzbcdObq2zeCNFMHP65JgI+23Tfkrlc6WkXned+iHRh1BCRaE4BjLzE8kZkcwHf9/Evg0VnHjRcBLTWjPf1lV6efGXy9F0wRX/bybpgxN6sbcDg4DP5PE7FgHgTnC05F1KzY7jorumtojHL2MFLTTjyELGcOiMnD6IkdM7Bv+yLMk7f13PnnXl5I5NJSMvgZId1eiGFlZOpmZ/ltjNLEiQCbjj0nFHID7d7r0SqxZOKhjG8OToJqWsdGigSzwuR8xEQ86v7uPAXXez+9zzKHjhefSUlJi0q+gaNRGnUBwDuqFx0V1TmXPFKIq2VPLC/35BxYH6luOv/nYVAJf8z3QlUiLEohe2AeBJdPCN383lpofm8ZXvTcXvNXn9j2sp2VHdqYOrGbTQ9fAGvH0bK3js9oWs/WA/JTuqccUZXPDdKQghqDrUQEpWXFjWseapn9iFcDUjujzZtGyLlDMGDrr+0EukhZGK4lhJOuccch95GP++fWyfdRLlf/1rzNpWHBllUVEojhHd0Jh0Wh5jZ+Xwj3s+49N/befCO6dSU9pIfZWP7OHJZA1TSQYjRUO1j5HTB3HWTYUAOD0Gg0elctGdU3jnrxt47ferSc9NYNKpuYw6IQtHKDGkacqwg+p9/vouggGLZa/tAmD6OUPRNMGurftZu3EVhaOnhFVfs4Da9vkhqg62z+bcpXhpHquFfZqmCTRDQ3do6K7DuNM34XA70DTbEVbTdDThBL0WrAgKFbMeAzBiEJvF0HXAnnKKJYkLFjD0mafZd83XKPvj/5Fx660xbV/RESVUFIoI4fQYnHHjBN756wb+8u1PSM2xA4sd2l1DwG+2DJiKY8NwaNRWeEO5ZVoH99TseL760xMp2lrJhoUH+OS5rSx9dSfjTh5M4bwhtkWli6mfzsjIS6S8qNVCNvHUXEpLS3nptRfwupqIy50QVn3uRAe6oeFrDFK0pSqsa49E9sx/kOJcitfCXs7SBsMDDn9GRNoBoPYzAHTZFLk6j4ARDALgrW84ypmRJ2769JZ9s6YGPTk55n1QtKKEikIRQYZPyeSMb4ynoriByoMNLb+aNywsZtqZajlyJJh4ai5vPryONe/vZ9pZ7V9ToQnyx6eTPz6dmrImNi4+wJYlJaz9cD9IGDwqJay2TvvaWBwunQ2fFANQdriCl994nuSUJKzDOp8vX8bsM6Z0uz6n0+DWR04Nqw9Hws7UbfHJO88RrBvPWRe9iWWamJaJFTQJBr2YAT8JKUdfNt9d/O7xGDXv4namRqzOIyHKy8GRRuOevTB3dtTbk6ZJsKICIzW1nRPRztPnM2bVyqi3rzgySqgoFBFm9MxsmGnvB/0mZUX1auonguRPSGf62UNZ9toumur8dtqCTvxEkjM9nHzpSE64YBg7lh9mzQf7wxYqmibwJLQ6y77yxgt4PB6uu+46Pn1/JZ+v+4Rt6/YyZnLBMd5V+AghMJx6KLdiyElX19F0HRzgIvJxWoKaHYXXbUQ+c/SXicvJhnI/FBREtR3/3r3sOvucdmUjP/6oZT/zju9GtX3F0TmmicYHH3wQIQR33nlnS9mpp55qL0dr87hVzfEpjlMMp07OiOTWjL2KsCkrquPNh9fy0oMr+ff9K/jgH5vIG5fGnCtGsfajIt7+y3pKdlQf8XqHU2f8nMFc84tZnHjh8LDbn35OASOm29MnDm861113HfHx8cw/bza6dPHhewt7eGeRInafLUvaK6wMLfpZhh0ue8m35eze0u+eUPnscx1ECkDjqtUt+8LpxL9/f9T6oDg6PRYqK1as4LHHHmPSpEkdjt10000cPHiw5fGb3/zmmDqpUCiOT6pLG3n9oTXUVfrIGBJPRl4C5UX1/OehNbjjHZxz80T2bqjgtd+vxjKto1fYAzRNQIIdlfbSr51LYqJtVXA4HYwfOZmyhn0c2F0alba7ix6/HcuMvtOpafkJYsRkufD24oMABKMUc8a3ew+H77sP96RJDHvtVcZt3cLo5V+QcPrplHz/+y3nHfr5L9h11tn4du+JSj8UR6dHQqW+vp5rrrmGJ554gtTUjnOVcXFxZGdntzySkpTZW6FQhM+qd/dhODQu/cF0Trt2HKdfO46rfnwCaYPjKdlZzfCpmcy7yo7wGs1FrBXF9UinjyEF7WOsnHXxKQg0Pnh7URRb7xohNIRmUrJvfdTbsqwgwRh5DPzzYCUAgzOi4w+z+9xzATAyM3GPGweAnpRE3p8fJe/vfyPt619HNAevk5L93/xGVPqhODo9Eiq33XYb5513HgsWLOj0+HPPPUdGRgaFhYXce++9NDY2HrEun89HbW1tu4dCoVAA7FlbRlKmB6PNsmKhCeKSnBRtquT9v29i2xeHot4Pb62J7gl2KE9IjCczMZfDFcVR78ORGDnmRgAss2P/Io1lBTBjJFQMYO6BvYwfPTKq7dR/9FGHqZ2Ek08m694fMmbVSgpeeZm0G28k55e/jGo/FEcm7E/ciy++yOrVq1mxYkWnx6+++mqGDh3K4MGDWb9+Pffccw/btm3j1Vdf7fT8Bx54gF/84hfhdkOhUBwHnH7dON7720Yeu30hielurv7FLHRdY9TMLLZ/cYjGGh+GQ2PsSdlR9QMKeCVGXOe/69wuD1V15VFr++i0CbISZSwZO6GiAYEYtCPcbhy5uZ0fEwLPhAl4JoS3DF0RWcL6xBUVFXHHHXfwwQcf4Ha7Oz3n5ptvbtmfOHEiOTk5zJ8/n127djFixIgO5997773cfffdLc9ra2vJy4tuaGaFQtE/GD4lk8vumcHGhcVsXnIQM2Ch6xrjTx7M+JMHx6wfph/iMjuPg6MZgOxNZ+lmARX9CK7SCmDFSKgIwIqi+Br9xedsP3EW6TffpLIl93HCendWrVpFaWkp06ZNwzAMDMNg0aJF/OlPf8IwDMxOnLlOPPFEAHbu3NlpnS6Xi6SkpHYPhUKhaCYzL5HccWm92gcZ0IhL7DyHUE11LbrWe5EehLAFlJTRn/pZU1uLP0aZVzQ6xK+LKHpyMvEnn4x3w8YotqKIBGF94ubPn8+GDRtYu3Zty2PGjBlcc801rF27Fl3v+Itj7dq1AOTk5ESkwwqF4vijeVpn82clmFFa3XMk1i7dhrAMcoZ1FEs71hdR5S1h/LjemxrQQiLJsqI/UZKogxUjoaITfRuRZ/o0GpYsofbttzvND6XoG4T1MyAxMZHCwsJ2ZfHx8aSnp1NYWMiuXbt4/vnnOffcc0lPT2f9+vXcddddzJs3r9NlzAqFQtEdhhamM/qELJa8spN1Hxdxxg0Twg7e1hOqymv49MVd6HGCE07vKEYWL/wMDQdnXXxK1PtyJDTDjjNiBqMvVIZ7HBj1sbKoSKwoL4NOv/FGfNt3cODu7yF+/BNGL1uK5urccqboPSL6iXM6nXz44YeceeaZjB07lu9973tceumlvPnmm5FsRqFQHGcYTp0zbpzAV+6eRn2ljwPbI5Mn52j8569LEQEHF3x7Og5n+991UkoOVRSRlZyPyxW9oGRHwzDs4GuWGX2hIrCQMbKoRNtHBUBzuxny0B9IOvdcZGMj2yZPYcvYcVheb1TbVYTHMU+sLly4sGU/Ly+PRYt6L56AQqE4Phg+NXL5a7oi0AR6op+8kYM6HNuwcjsB0ciEieNi0pcjoeshi0oMpn4kIGMUCVcTYMXASVkIwZA//J6UK65g//XXA7BtylQAEk4/nbw/Pxr1Pii6RuX6USgU/QY9FE/FCsZghYuUBJpMjCNkvX7n3bcB2LNzP3t3FwH2oDd3/izyR2RjScmq4hoW7q+kzDLtbM/2SG+fi52iR0gJ0n5+aFcNialuElJdiNA5CEL7omOZAD1QyUkGrK37kE0bixEhKdF8XIT61fJPhGoTWug5CLTQORpC6PYDDaEZaEIHoSOEgfQdRDMDPL9mQ+hFCv0nm5/K0NPmAtlmI1t9TlrKZZvrZUt1IPE2NWGYkk/++CSmYSCFjiUlSImUEmlZWFbouWVh71ogJZZln0Obh6C1ryLUrpDNr1XonMtvIu7QfnI+fQ+Ahs8/D+MTo4gWSqgoFIp+Q1K6HRahtqKJzPzEqLa1ZukWaIyjcEFGp8cdmosmE/Ye2kbzSG0SoPHNBm668xouencDK9wWmiVJaAo5AIuQRUK0cRRt3hcg8wykCIIZJDR8tju37fPmfV3TGEkmKcH3oPQ9aB2Sm6vHblV+aV+ideGu2txGW9flPKC2PoN1n71ytJfvmBkFNGoOsp9/NmJ1Wi2vvUAK0WoharcPTYYLr+5g/VfvYGzEWlf0FCVUFApFv8Gd4MDh1qkpbYp6W6ve2wtOjVlnFXZ6/O7/9+0OZX/+7T8pqdrDY79/Bu/gEZAdx6YTJ5DkMUJJWol4npxtDU2csvyvfDd/ED8a0RpbRkqJBbalAYklbdHRXC4BK7RvWhKJibQsTCwsK4gpLaQMYknTflgBnnrvPZw7D/D1b327jWVHtJh5tNBWNB9s/r9Nklr7acdty3mh7SNPvkiwsoKhq9dCwI8mJUKAJgSaJuzYJ/YL2vJovrZDeQ9e8799upsH/7uFQauLuWRa5wHhFLFBCRWFQtFvMIMWpt/C6e58OiaSBBoEngyJrnffeXTe6bN56603OVi7mw3TJuIM2JIgnDrCpXm19pcD8woh0AG9jWjomqNnRHaKQTS4GhiW1dFnJ9Jomi3u4uJcQOxX4nxjzjDeWn+QF5cXKaHSyyiholAo+g1blx5ESknu2OgHgHPGC3z14WUkLpw+isLpd7Nr516e2FvBjQkuUhOiO8haoekbPQYZjVsca2KAJUPWml5CCMGQVA//XX+w1/qgsFFCRaFQ9Bua6gOgCX7/0AqEBLcubAfVZt8DAVIXWLpA6iB0DXSBZgiEruGsrSJVSNraY5pdPCsqKgBIT7dFkLfMIC67Z/1MSo5HikqSEqO/bDkYEg5ajAb1WEkHGfDikr27THj7oToAfEETlxF9K56ic5RQUSgU/YZxs3N4v6iSonp7ABuTYDvXtqwWkRIRlOiWhKBEmhIZlEiviRW0MKoaqNcNDF3r8GvdCMaDFDRV2s/1+CAnnjemR/20LAtL0zBiMKqbstmiEv22YomoKenGZFR0qfPaaQkqG/zkJHt6uTfHL0qoKBSKPk1D0CQoJUmGzgrLz1/HGvxPwUjuKMgKq5791bU8+cc/MPrs87l61owo9dameaVMLKZjAqGZGCMmUz8idlM/CZlo9WUxaetIJHscHKr1KpHSyyiholAo+hw+y+KzqnreKavhlcNVNFlWS5K6U1ITuTU//IBvfsuWD44ve51GgaBlD+ZGDCZKGkPJYN0DLQOwO4mGpuiv7uqKb8wZxg9eWc/i7WXMGx2bIIOKjiiholAo+gyfVNTy4qFKPqqopd60KPA4uTE3g4kJHqqCJkNcDhakJ6H1wHrgCy2PMaK4AqeZILGbjvGadlvuGAiwWCIg+lkJj8Il04bwxw+3c92Ty3nzO3OYmJvcux06TlFCRaFQ9AleL63ilk37mJDg5tv5gzgnI5mx8e6IxR0JhCwqhoiBUGm2qMRgOqZJ2vflioEAi+U6HDu2Su8qFUPXuGnecH7x5mZGDIrv1b4czyiholAo+gQvH6piVnI8r00dGfGgaNAcrh20GEyRhIwcMbGoWM0+KtFvKrZmDiFi11YXfLajnEm5ycQ51XDZWwywSU2FQtFfqQmapDuNqIgUACtkeYhW/W0JymbrTfTbqvDbK1OqguHFfOkxMdMpvT+VVdMU4KOtpcwsiH7cHsWRUUJFoVD0CRakJ/HfshpqozTgNltUYjEAxtKiUh16vaL1urUnduKhfcai3uGXb20G4PrZBb3aj+MdJVQUCkWfYFpSHAATl2yMSv0y5KPSE0fccAnIZh+V6H/F5rvtoHKj4t1RbyuWRg4htF7VKWv2V/HyqmJ+c9kk8tLieq8jCiVUFApF32B2SgJzUxOQEkp9gYjX32JRiYmPSuxW/VjN9xX9pkKutLHzUelNZ9qPtpSSHu/kMpXnp9dRQkWhUPQJNCF4YkIBQsB/SqsiXr+0moVKLHxUYrfqp3koj0UI/dhaVGLXVmfU+4JkJLjQBtiy7/6IEioKhaLPkOIwGO5xsbfJH/G6rQHqo9KS6ycmOQlFjJ1pe8+ikuxxUB2Fz6EifJRQUSgUfQ6/FfkBqmV5cgz8RnxWc1uxsN7YW0essifHSDwIETtR1BkpcQ6qGgOYUfgsKsJDCRWFQtFnKPUF2NrgZWZy5INrmZa9KiYWpvwtPnvJ8O7QNpo0+8MYMbgvQQzX/fSyj0puahz+oMW+ioZe64PCRkWwUSgUfYZ/birBWFnO/66r4jeGhq4JdE3D0AWGpqHrAocuaGoIsndvNYXjM/B4DDQh0IRACNA1gRACTRAqs/drqqupiyunYsVfWboztd0UUNt4q3ZEVNGy3xYR+td8+qdVnzIqbhQ5rpx25+1o8DGzPplA+Um8vm87mhDomkDTRMu+Luzn3TKEdHFOoKaOmw4voVpbzyqXgZQgkC0ZpV0Nh0k/tIKDw85EOuLQNB0hdISmo2kGQtPQNMMu13Q03UATzWUaeuiYpuvgr0aYFocPVCAtqyXYnLQskHbwOSklSIm9sUJb2eIjZIX27fNC54RuUYo2vikNjWgSPvviAKZlX2NZEjO0lZZsaU9a9v1KCyQSaYa2bctDgs5uVrb0qwOhoiU7yxka7yZfrfjpdZRQUSgUfYYtm8vxNJh4MpyYliQYMDFlEMuSWGbrABWos1cFbdxcjnDr9uASGhyB5tEotG9vNGcx8cMWccCvoR0SSNFxkJKd/ILvUPYl0bCradcR7+fE9VkMDgzqxp33nLHaOjKd/w/2dn3e4F1vH3Nb/w8oIoe/PBEb3w2P6WHdP7bFpK0vMw6YMDY5JrmhFF2jhIpCoegT1HoDrNhRzq0nF3D3mWMiXv+/N37KL1fB72Y/zZmjJ0ekTiklEtkhA86ile9z++b/IfvmqQwZPKyNcLItAkHLImhJgqbs/Fd92zaO0gf9o62wHqq/sQKSU5ttQfb/moawgohAE9IRh2mZmJaJZZlYZpCgFURKE9MMlVkmlhXEtExk6BxLSqQMYpkmyZ88RVblZ8yfc75teQrNBWkhK5MQIjRlA7YrkIYIlTevttKEBlqr/44IWb1AtL4WEtZ+WERNaZCZt4xvtUbp9tbQNIQGmmbXJzTb2tVsoRKh+rUW65poOcc+1tquEB0zGAkBb//fWlIToh+bRnF0lFBRKBR9gi92V1LnC3L5jLyo1B80bX8Rhx65r72200RtafQ1ARAXF4/Q23t2GET2i9cvGpFSI2nQcDRXdL/SS1YvRVQuYe6ZM6LaDkDxKh91+8s5YWp21NvqjKZaP0ML03ulbUV7lE1LoVD0CZqXD8c59ajU77fs6SKX7oxK/W1p8tsOmPFxCVFvC18dEg/CEZ3XrR0xdHDVYrG2+wj4moI01PhJzVYZk/sCSqgoFIo+QVFlI2AngosG/mBIqBjRNyQ3BZoQUuByeaLelgz4kDhjEsjOHjJiI1R0wx6eZC8sD646ZAvNtBwlVPoCSqgoFIo+wfI9lYAdaCsaBJotKkZ06m+LXwZwyOhlgm5HMAAiBtYUiKlFpVmomEErJu21xQhZpxpqfDFvW9ERJVQUCkWfYEdpPVefmE96gisq9ftDPipuI/pTPyYWutRjYnyQZgBJ7IRKrCwqWkioBAOxFyqJ6bYT7cFdNTFvW9ERJVQUCkWvs7+ikT3lDZw6OjNqbQRCQsUZQWfaI6ELDUtYcJQVPZFAmMEYWlS0mPuoWL1gUdm7vhyACXMHx7xtRUeUUFEoFL3OzrI6ACbmJketDdOyBzyHHv1BXdd0LCyIwRgrNZ2YNASAQHQSfyYaNEcQNs3Y+6js31xBZn4iSenR9zFSHB0lVBQKRa/z1rqD5CS7GZQYvbgVzcn7HDEI4KULHVNYR42REgmE7kTI6Dggd0CLnTNts3+P1QvOtJYpccWp6B19BfVOKBSKXkNKyd8/28Oraw7wq68Uokdx5YoVsqjEIieOpjVP/US9KTCcQPRzCtnEcHlySE/GaurHDFosfWUnm5ceJOgzVQyVPoQSKgqFotf43fvbePSTXdw8bzhXn5Af1baak/fpWmwsKgCWZaJF2dHVV+zFIWMT0l4IDRGraabmFVMx0EVmwOK9v21k38YKppyRj8OlM3pmVvQbVnQLJVQUCkWv8egndp6ce88ZG/WlvM3TMFoMlgw3CxXTNKP+JWtkJiGKY2NRkSJ2Uz8t7UT57fJ7g7z1yDpK99Zxzq0TKZiYEd0GFWGjhIpCoegVDtd6AThvYk5M4o00JxfURCwsKqGltVaQ6Cy2bkVLSUAcCNgrjKL9Omq6nZlZyhgIy8jXGQyYfP7abuqrvJQV15MyKI6GGh+15U1cdOcUckamRL5RxTGjhIpCoYg5H289zA9eXk+S2+D+SybGpM1modJZbp5Io2v2V6tpRt/SIXQ7gJ00TUTUo+4KNGHZIiLKL2OzUImUIGqo8fHOXzdweE8tWcOSMAMW+zdVAHDatWOVSOnDqFU/CoUi5tz54lrK6/28/p05UYtE24HQyBeLYLHNVpvmJdHRbazF6zTqTQmt2fcmFuuuQ+9XBEap+iofLz+4krpKL5f9cAaX3TODhurWqLPjTso59kYUUUNZVBQKRUyp9wWp9Qa5Zd5whmXELpdKLC0qmtbqTBttZMh6gxl98SBCS7utgIluRNdJuLy4HoCA79hfw/WfFBHwmVz1kxNISLWXwF//65Mp3VdHwcT02KQ6UPQYZVFRKBQx5fHFu9E1wddnF8S24dBUQiycaY2QUDFjYeUI3Y+MyTRT6L4C0Y/bEvSHBEoEfFX2baxg+NTMFpECEJ/sYtikDCVS+gFKqCgUipjx8up9/OnjTXzr1GEMTolt1E8rtKw2FgNT86qfYEymfkIWlRhYbzSjWahEXxTpDnt40hzHNkyZpkX14UYy8xIj0S1FL6CmfhQKRUyo89fxs5XXkzi2nH8ehKee0hDSAdKBkE40nJjGIQASrAkYwoVDuHBobpyaC6fuxqW7cesePIabgBXESQZJziRchobbMDB0HUMT6EJD1wWGJjA0HV0IdleUAfDvbf8G0bpcWYZWsTRjyVZx0VzuqtPIMbIR2pfCnUn5JadS+8nWw1vse15TQt0O2p/TvC+ELZo0ex9ht10bbIB4O/OypmsITSB03d7Xm8u00HMNzRfABfhqyjE0GbpORwiBaOfgIVrate+79R5kqKDtvUkZOtbcXwlW0BZDvoYGNGfz8GHZ0WNl82sZuk5KrGAQTTfsabdQhFkpZbsVPS3vgwx1INSfuCS773UVlZj+ug7nt9YlkRZgSbwNDQR8flwJiUjTwjItKoobsUyJYVRTsr0eaVlYlhnaWkjTtLddlZttyi0Tw1tGjm8zg3IH2wLRCrZ5WF96btp+RJoBmsPe6kboeXOZDnromNAhYySMOB2FjRIqCoUiJvxu5e+Ii2vknJy78ZsmvqAfr+nFG/ThM5vwmT52ez8hSBMePY6A9NIkG6gLejHxYeHHwo8UPhD21IO/6gR8hy7BHuECoUfnGIkanly4f/n9MblfXWqYSyqoMX1HP7kTJNAdG4lbqyPBCZ6/zwir/s6009HIAqQU/Pv+dZhRX3ht89bDO3pwVVm7Z5ZZydsP/6HHfRDCFodCg/HxRZwyaA+6BvJAGqJFcOitQqPtc00HaYEZaCNqAq0ixmyzbwUg0Gg3+tOqVkfp4xwlVBQKRdT5eP/HvLrjVX4y6ydcMeaKY67PtEzmvjiX+CH7ef3bp9MY8NPoD+Az/QRMC1NaBE2LoGVhWvbWbw7Dy2yS3KEvf9HqWCuwrRttnzcfr6+vJenpOiqmmoydOaW9M64MVRTabZlWkhK330HSvETbNCHbnk/LOc3WByRgSfZ+tAVnSYC4q4djmRbSksg225Yyy7ZQWKZFY3AO3oZfYSUGQ9YFiZRWq7VB2tcgpW0tCpXvWboQTVqMP2lOR6PQl0KyiNB/lgkVtamMHu5utQi1vJa0K2uqrWHLZwtJz8tj2OTpofNE2027aTghaFVMwh7bvfWS+GSNTqWUCL0TmrANUgLqK8sI+n1k5A9F0wSaYVuiElKG4En8E5qmIbSQdUrT7ee6hqbptpWqedv2uKYhhKBu1xoanr2WbFlEsWcamTc9h5EWhezK6/4Fr90Mph+06OW+6k8ooaJQKKLK5orN/L/P/h8L8hdw+ejLI1Knrul2hmJpEef0EOf0QJQWEFXXVFIf2EQwxc/QvJHRaSREYDk4BORMKgjzyhPCbuuDzw6gCTjrqvvCui63m+dVHChi0yd/Zdikicy9ak7Y/esrSNOk6Lnvk7XzKYR0cmjOr8k969boNWiELFVBLziUUAElVBQKRZQIWAH+tfVf/GnNnxiRPIL75twXUUdWXegEZfSdOrWWOCVRbyq2hCwn0SIWmaOjTe3OFTQ9+3XyOEBxwkwyb3qO7NQo5wAyQuIk2LMpw4GIEioKhSLiLCtZxgPLH2BvzV6uGHMFd0+/mzhHXETbMDQDb9Ab0To7o2X5byyUipQt8V6ijyAm6qsfLv+VZpDiZ+8ma9ezCOni8LzfkXvGTbFpvMWi0hSb9voBSqgoFIqI8tyW53hw+YPMyJrBb+b9hrFpY6PSjiEMTBmDJbmhmCgxsajE0AghBLbvSrTopxaV2m1f4H3hevIooSjxRLJuepbElEGx64CyqHTgmFyKH3zwQYQQ3HnnnR2OSSk555xzEELwn//851iaUSgU/QRv0MvvV/6eK0Zfwd/P+nvURArYUzIxmV5o8Y+NQVsxHdxjY+mIRSTgSCDNIEVP3obnubPxmNUcnvcQed9/H2csRQq0+qXEwFrYX+ixRWXFihU89thjTJo0qdPjf/zjH1XEP4XiOEMXOgJBnCMu6lmKhZ3HN6ptQKuPSsx8LmL1tSmIqjBqeb36wTBQs3UJvhduJE8coihpNlk3P0NiUkbvdKbZorL0YYgfBNK0l1u13Upp7+efCDNu7J1+xpAeCZX6+nquueYannjiCe67r6PH+Nq1a/n973/PypUryclRyZ4UiuMFh+7glsm38OjaRzk9/3SmDpoatbaEiI1QEbF0ppWxnP2JlUWl72KZAQ489V2y972IkB5K5z9M3qnX9W6nknNh8FQoWROKyaLbWyFa9zUdir6A3QuVUDkSt912G+eddx4LFizoIFQaGxu5+uqrefTRR8nOzj5qXT6fD5+vdS6utra2J11SKBR9hG8UfoPPDnzGvZ/eyysXvkK8IzrrhjWhxcai0mwZioFFJeZeHTGwqBQX/5uPXnsHEKFYKXasFbdnMCed8euotX80qrcsxf/iDbYVJflksm96hqSk9F7rTwuuRLh54dHPW/xb+OKxqHenLxC2bfbFF19k9erVPPDAA50ev+uuu5g9ezYXXXRRt+p74IEHSE5Obnnk5eWF2yWFQtGH0DWdX835FZXeSn638ndRa0dDi8nILjRh5wmKhYqQLf9FHxHd9cm6044S7EjbT9CxnqCxDr++Dr+2Fp/2BY36y3gbKqLW/pGwzAD7//4t4l84D7dVR+mpj5D3vbdx9AWREg4iFPH2OCAsi0pRURF33HEHH3zwAW53x0A0b7zxBh9//DFr1qzpdp333nsvd999d8vz2tpaJVYUin5OXmIe3536XX694tfcMukWsuOPbl0Nl5hZVNA65AOKHrFbnBxqLmpouv07eFjBd5h6Wvulvas//S1Vgb+2y6sUC6q3LMH/4o3ki0MUp5xM1k3PkJTYzwRKM0KLSSLKvkBYFpVVq1ZRWlrKtGnTMAwDwzBYtGgRf/rTnzAMgw8++IBdu3aRkpLSchzg0ksv5dRTT+20TpfLRVJSUruHQqHo/5ySdwoQSgIYBTQRm1U/QgisWDmPxHTRT7S9R5pvpmM7zckSZYwG2lYryvm4rTrKTnuE3LvfxtFfRQq05hA6DgjLojJ//nw2bNjQruyGG25g7Nix3HPPPWRkZHDLLbe0Oz5x4kQeeughLrjggmPvrUKh6DfkJuRSkFTAhvINRz+5B8TMmRaBFK3ZfwcMURd5R65f0LySKvoDbdVAsqK0RejHjUUlLKGSmJhIYWFhu7L4+HjS09NbyjtzoM3Pz2fYsGHH0E2FQtHfEEJw8ciLeWLDE1jSivhyZV3osREqQuCUDtzVR87MHDEkyL68TCYMunpvmi0qn39yO5pwYxv3NUTogdCIT8xlzJTrSUod2qP2LTNA0VN3MHjfC3ilh7IFj5J7ytd6VFefRNPtpcrHASoyrUKhiBoFyQU0BBo43HCYnITIhiqI1dRPMynFzhi0EtuAb1EVei0zPx2VV+bgmZSsS0Jo20FIBBJE8wOEkATNAMtXPY1sHEr+0OsZNfFqNK17Q1ZVaEXPUHGIAyknM+imZ0gcCFaUthxHPirHLFQWLlzY5fGBkJhKoVD0jDR3GgD76vZFRajECguLQ+MaiW7uZGK76ifKNE/riE5uZ/Cw2Qwe1vWii6rSXWxa8WdqAx9SXPEL9r79G5JcCyg84W4Sk/M7vcYyAxT943YG7/+XbUU541GGzBtAVpS2KIuKQqFQHDuTMyeT5k5jWckyZuXMimjdsQzN7hcBTBF9f4qBIVFsTNMOAW9aDT26PnXQCOac93ss02TbmpfZV/Ek9c63+Hz5W9AwmhGjbmbY+ItaIqBXbVxM4N/fZKh2mAOpcxh009MkJgwwK0pbmpcnS9kvEz+GgxIqCoUiamhC45TcU1hcvJi7pt8V0bpj5UwbS0QsI9NGeWzzee0YKV5/8THVo+k642ZcybgZV1JZuouNy/9Ao7aQPYe/x/adPyc17hxy9pQwuPgNGmQc5Qv+wpA5V0fiFvo2zckypWWLlgGMEioKhSKqDE8axvrFr7Iu/kU0w0DTHWi6jtANdMOBphnohoGm6S3HdN2B3mZf6DpC0xGaQDMcCE1DC5jopokv0GjXoRk9ng6SUhI0/VgyiH6EL31pWlhBEzTRkv8n0sRceFmSgM+Lphv2e3KUX+Zl+/bw7//9EZZpIjTN1jqahghFmxXN+5qGNIMAxLlHR6y7aYNGMO/8RzHNAFtW/JPiqmdJLXmK2iQNfVAWmdcvJTkhLWLt9WmaP6eW2SpaBihKqCgUiqgyfHM1D/zThH/+ol25BILHUO89gDvNj2uf7ftiAYFQvZYQWIBsazYQ9jEhJTqgSfuoBuiAo4u2PPJFRq5Ko2TV0vb30Ly8tsUXT7Z53qasne9JaGuFrm0TITZdcyD9Tez44UfNXf6SeBDtfD7El/baPm9/VftygWB0Qz4bqhbzp+suO/KNHwFnXBxOjwekRFoWUkosy0IGg0gZeh4Mhm4z8qYbXXdQOOubFPJNlr83nTpHNYcHBShePIu8lLPJmvozdM8AnvaB9haVAY4SKgqFIqqM2lpHTU4Wxh9+jmkGsMyg/QgGsCwLywxgmSamGUSaJpYZRFpm6DzTDgpmWUjTsr+ULQtpWQx6+10Cu8pZe9JN9jkyiCVNME1kKNOsRGJJidYyVtoDtdQMELaVBk1DoFPUcICmoJcxaWM63MO4T39JbWA22rDT7AUCMiQ+QgJEtjxvI0osia2OZIuQsc+zy/xFRQTLyoibNq1FuzRt3kHw0E4qLrycw6Wl5Ofno+t6q9IQzVNebdwSQjtffm7n1GlzE0K0XA9Q914lABNPPwvLMpGWxf6N60gelEVCWoYtwiwZisoLSAspwZOYxBk3f+eoVqWDe1bx/A9/hic+rsvzjhU9czRUr2Rq9v9QtO8JtjS9xc7FbzFELyR30s9wDZoe1fZ7jZYcVAPfoVYJFYVCETUCh0upfuEF3JMnMWzqqRGtu2zzFqr3VDLlrMjkE+pqOLM+TSEhdxzxt54XkbaORNHtP8e/eTuzvnN2VNsB2LH8HTJFPmfecnuUWojNNJamOQFJ2vhbSBt/C42HllK08ZcUyY3sW385Wf5M8oZ/m6Qx1w0sp9NmoXIcLFGO3fo+hUJx3FHxt78BMOR3kU9OKC0ZdYfQmKNpMYnWCiHrThQH7liFptA0N21FUVz2bMYseIc5Jy9lpOdMqrVKVpT8Lyv/O47Dn9+D5auNSb+iTsvUjxIqCoVC0SMqnnqKqmeeIesnP8YZjUSj0iKGoVRigtCNVt+VaCPlUZ1nj7EBexPlN0nTXJ2WG3HZ5J/8V2afuYVJg76DMNxsbHyZpR9PYd+HlxEo3xTVfkWdFmfage+jMsD+zBUKRV+g9t13Kf31b0i/6ZukXXNNVNqQphxQlnwAocUu2mi0DR4t702U27EtKmCa/s77oRlkFt7F9LPXcsLov5JmDGcXq1my5gLqD30a3c5FE2VRUSgUip7RuHIlJT+4h6TzziPzrsjGTmlL9afb8NfGUKnEQhXpscyIG12LSuvUT3RfNz0kVIJm/VHPTcw9g/FnfMiJI/6EqQu81Vui2reo0nZ58gBHOdMqFIqI4du9m6LbvoNnyhRy7v+VbSFQdB9dHzA+Kq1TP1EWKroHADNYC87uxVBxxNlL2mWwMSp9kqZJ0NeA2VSP6W3A9NYT9DZiehsxfU0EfY2YvkaCPi+m34sZ8Nn7AT+m30cw4Mf0+zGDQcxAgGAwiBk0W7aBoIUwfcxPdZF8HFhUlFBRKBQRQQYCFN/2HYzMDHIfeRjNGd0kfimzR9KwZnNU24g1QtdiZ1GJti+yaLeJGoaRCEAgUAUUdOsa4UwCoLT4JerKliJlAEsGkaEl7s1biyCy3dZEYmFh2VvTiyXAj07F7hQOLh1EUAos2TOBrmGhaxJdkxjCNrDpmsDQRWiroRsafkunpNLJ4SlXkJwY2RxafRElVBQKRUSo++QT/Hv2MOy1V9GTknq7O5EnFqtYND027RCKghvNqZ8YWVQMw/6sBQLV3b5Gj88hzqdToR1C+A6hhQLpaVKgoSHaboWOQEdHRxNOhDDQhIEQDjTThyjbyd6UDDw5Xk6aPQ7d6UJ3ODFcLnSnG8PpRne5MVxx6E4PutuD7orHcMeju+MxPPHo7gR0dxya3r0h2e9t4uGvX05w/KUDPiotKKGiUCgihG/bdvTMDNzjxvV2V6JDDASE0GJoUUFGNbFjfbmd6+fwzv2MOyFqzWAYCQAEgt1fdqw5EzjpnO0R68P+169Gd25gxu1/iFidXeF029NdpXt2MX7uaTFpszdRE8gKhSIy6Br4AzGLn2E3M8CW/WgiZhaVaK/GMUJTfwnp0c2907w82bI6X/UTCzTdjdCOJSFE+GTkDaWuojymbfYWSqgoFIqIEDdlCmZNDb5t22LU4sDKnAwgYrjqJ9pTP4bLzp6UPCi6OXc03V71Y1m+qLbTFbrmQeixjWcSl5xMMNB74iyWKKGiUCgigmfGDPS0NKr+9a/e7kr/RdOIpQCLpj2qOSmhZkTXw0ATtkVF9qJFRTc8CD22q2/iklNpqqmJaZu9hfJRUSgUEUFzOkm74XrK/vh/pFx2GZ4JE3q7S/2P0HJuGfWosYSmmKLXRoO/gU+mlfHFxp/j3nk/mtDQhIYeepw85GSunfbzY25H022hYvamRUWPQxMSywx22yH2WMkvnMwHSz+lsbaGuKTkmLTZWyiLikKhiBjp11+Pa9QoDv74J8hAILqNxcqXI4YI3V7BIYPR93dol4E5ChwKBtmX3YgUBprQMKWF1/RTF2hiQ/VBXtn534i00xzwrTctKg5HPAB+b13M2hw2ZTpSWuxZszJmbfYWyqKiUCgihnA4yPnlL9l75ZVUPf88aV//epQbjG71MW9LCzUStMAR7caia1EJhHLQ/HjGH5g88sR2x7791pnsry9lb8VaNM1AFwa65kATBoZmoGkONCEIWEEcmhNd6Aih4TYS0L4URFALBXyzZO8JFcOZAEHwNlXjjk+NSZsJaekMGTuerUsXM+GU+TFps7dQQkWhUEQUz8RCUi67jLJH/0zShRdipMbmi3sg0BzJV8Yg0Zxtj4qeUPEH7KkYl9PT4ZgudPb5TC5469qw6jwpdRCPX/hR+7paVv1E2YLXBQ6HHXTO31Qd03ZHz5rLomf+hq+xEVdcXEzbjiVKqCgUioiTecd3qX37bSr++hhZ9/4wSq0MxKmfkLXAjIFjppRRNRL5TFuouB0dhcrPTnmMCw68jyVNTCuIJYOY0gw9t7eWlHx0cC2jkgYzJC6d13a8zMGmjrFSRPPUj+w9oeJ02bFcvE2xdW4dOfNEPnnqMTZ/+jFTzzo/pm3HEiVUFApFxDHS00m96koqX3qZxskz0N1udI8bzeVC97jR3W40jxvD5cJwOtANHd0w0PXj3G0uFGVUmjESYWE6qazZuYyHFv+aYCi/jB0zJxSDVtpbiQQpqbbqwAMuh6tDPRkJ+Zw55ptHbe+rU1v31x1ezpKKIn71ydfQhYYRcsp1YDIO8Aa9Yd1LJHG6bWfWgLf7QeciQVLGIHJGj2XTwg+Zcsa5Aza3lhIqCoUiKsRfdDGH//4P5N23d/saC4ElBJbQQg+BpektZVJoWJq9zaivwEiJUXA5Q3LA/S4lr43qenCX9jHRHIxOHqGsOSasbP9cJgaR9wSo/OyS0KBzpLbal0szSNr+83A1HTnvi6MyCyF1gvE1WO4Ggg1NlPuKeeLuC492+y0sc1SzdlwVwxozQLTcRcsKJWEXIhAkiniGmoMZlDq42/V3xeTMySyvLOadA+sxAVOCKSUakgdzYU9jHZMj0lL4ON12GH+/L3bOtM3MPP8S3vjD/ZTu3U3W8JExbz8WKKGiUCiiQvyokdx02QNkEuCe+cOQXh+W14v0+cBnb6XPhzRNrKAJlollWkjTDD0sME0s04RQGZaFtEwwLeShzylI3R+Te9GBzPogvuQT7dVGtgnBPtj2uZQh+4IVOipDAdyay1u3IFssEojQtZaFZeo49BGd9CJUo/iSOJOSyoQPaErfhqsh84j3YIla9PJUZKoXXCZDR+ZjNDZhxTd1+3VIctegA69/+5NuXxMpvjbjfr424/4O5Zbl45OF49H0xJj3qRmXx7ao+Lyxj2tSMHka7oRE1r7/Nmfd+t2Ytx8LlFBRKBRR44JZI/nP2hJmz5uKpkXWI2Lp49/FcXBfROvsCnfCMCZe8WzM2guHjz4egXOSm+ETrun2NcN70E750ttZvHNhD66MJvZ0mSVjG3CtLU6XLZL2rPucKXO/HdO2HW436bl5bPzkfaaefT6DCnryzvZtBuaElkKh6BOcXZhDWZ2Pz3ZGPieJJuy0erHA1ATePBXATggRs1xO3UUIexizZGxz7bSl2UclJSejV9rPL5wCxGa1WG+ghIpCoYga0/JTGJudyNPLIm/50BiQMd96TiyyOyP63FqrFqFi9Z5FRQ/lG3IndHQcjgXNVpT41OgmgOwtlFBRKBRRQwjBdScV8PHWw5TVRTbEua7FctCUNDbtiVlrfZW+KFSaseg9a4IQGlZQwzR7Z+VRas4QAA7t3N4r7UcbJVQUCkVUOWN8FromeGlVUUTrFcQ2korViyHau0cMLCrRzj90DJi96KMCIE0Ny+odoeJwN8eSUVM/CoVCETaZiS6umpnPY4t2U9UQucFe12I59SNISBgbq8Z6hIyFUOmjFhUpe98/Q5o6luwdoeJrqAfAHZ/QK+1HG7XqR6FQRJ3vzh/Fa2sO8H8f7eDnF0bGKVUTsbWoKELOtDFNsNQ9hADNtzsidR1e/gKV+xdiWX6kDGBZQaQMIGUQKYNY2Fv/wWKksNBzMmmwfGhZfixv7wiVtCG5xCWnsHvNSvImTOqVPkQTJVQUCkXUyUx08Z3TR/Lb97ZxzYn5jMo69pgXfXXQ7C2aGqO/VFsLGeGllH1uGijT3BWRenbsegBfegOaTyBMAZZAWBrCEgip2ftSw0oyESZIgjR5A3j3JzDphEsi0odw0Q0HcUnJ+BobeqX9aKOEikKhiAk3nFzA81/s577/buGfN55wzPXpAnKoYOuvZgG0TEqIUFbgtpMUbY8FTTvImqFriHZzR7LduW0ZZkkOHn6fJe9PAjQsNKQUyJatQEoNicAKbSUalnQwftz9TBl+7Pd7NOrqN0a9jWZxIpEtUWn7AvWWQYNrTETqElKQfLiAGdd+dPSTQzx/3ZUEvE04BrvZte81O4ihaSHNIA63h4Jzz0dzRDcddsDvw+FyR7WN3kIJFYVCERNchs6Pzh3Hrc+u4sPNh1kwPuuY6ks74UrWV5VitYiN9hKjRXZIQLQeK6psQkrIS4oLndEmHkuLlUC0PJUIKrQhbI4fQ70/EQ2JEBYCCyHsKLS2VLHschF6LkxynW+z79DaqAsVIXRkTJxJQ0JFymgmXg4br9QREXK5FNLAIrwEh574eA76Gnj16cc6PX5ZMMjQSy+PRPeOiG442L1qOad9/aaottMbKKGiUChixlkTspg7KoOfvbGJOaMycDv0HteVNfYkssaeFPZ1M3/1IZYlWXXnGWFdNyPMdoLBAIsWvx3mVT0jM/MsSkuj35bWxqLSt4jcVJSQOpYIL3jcub/+I2VrViE0Dc0wEJqBZmjUVVbwn789QlNlRUT61hWVByK7qq4voYSKQqGIGUIIfnHhBM7642IeW7SbOxaMinkf+po1IBLEalmqaOOj0tcI16LSeGg71TsWYpk+rKDP3po+gkYjRjAurLpcSUnknnJah3JPhR2R2R8DJ9vC085g4ycfRL2d3kAJFYVCEVOGZyYwY2gaD324nXMmZjM6Ao614TLAdErshErIamFFsb2H3vwrxXUH7PSNMvRo+0923J6SHWSQfy0fvXFrS1LIlgSQoaSQzWV2wkiJnvhFa6Na6OEA3BBXMiQi9+KKjwcg4O1+4seeMmTsBDZ+8gH+pkacnvCEVl9HCRWFQhFz7lgwimWPV/DdF9bw1u1zMPT/396ZB0hRXfv/e28tvc2+MIADIojAgCigRiRq3EBFRYNJcI8ad99TsxmT33M3+HzxPX0a8owBE4xLTNyIguBGBEVBBhBkVUEGBhhgtp7pme6uqvP7o7p7ZmSG6R66qnvG80naqq7l3nOrhq5vnXvuuelN6fRlfQg/+mgTokSJZ5AAICGwa4gfhQ2ZmxfGEVwSKlLYXXXkUBbYqGFgTu3v4Y3mwEd+CMh4tJD9PwEIkoCwg16FsLeXNxUi4NHhwTbYd7rdR0iARMzjYv8VAAJyUx48XxVj7G2PQ/H4IXUfpOq111U9Le3RdDulfjTsvEclnkZ/x8bPMXTc8Y7X5yYsVBiGcZ0Thxbj9Vsm4cJZH+K5T7bjqpOGpLX8d3bWYodPwB8h+M22d2kCwernQzjXzeRgzvtvCO5kZY2HgZiWM0JPU1UIkri0/49xx3k3OFJHnE8nXwLoOnLKnZtsUkgJxSKEW9M7fURnlA4egrKhw7HyzddZqDAMw6SDYwYVYMbxg/G7RZswdewAlKRxQjct9kT90+ghOL2840RtJyxYhUa1j3X+kAU3BFFbjIpzQk+1NIQN5x/skBJwIZutSkC0JZTUsVY0CiPUjGhzM4zmZhihEKItIXsZaoHR2oJoSwjR1haY4TCM1jCikVYY4TCMSAR7vtoCANg982EIEMi0AMtsW1oWYNptLr72GniGux8j1hNYqDAMkzF+OWUE3visGk+8uwX3TRuTtnJVGZtRt5OgTxUig9PXOYNbo3DiMxU7KlRIQ9h0S6g474lSycKWr79A9SUXwbJMmEQwiWARwYx1olkALCFgydTFprQIkggKAboA8iygackSSEXa3V6KAiElICWElDDq6xD9ejtyTjuNhQrDMEx3FAZ03Py9I/Hook24etIRGFISSEu5auwHP2p2IlSEcKWjxNVxMS5NyCdIID+cj6Xrl0JX/bDIAhHBggWL7A+BYFmWvc2yYJgGLNOCadlJ0Cwrtm5ZIIsS3+PrhwcHIeJzIRW9lIDhfKzS4bVNqPXr0HMKoKgKFFWFqqhQNA2KpkONLRWPDlX3QPF4oHo8UD1eqF4vVK8PqtcLze+HGghA8wegBQLQc3KgBgJQ9NQ8kTtuvwOwCLlnnO5Qi9MPCxWGYTLK1ZOG4E9rqjBl8ecoDeiICGC7B+gXBQraPX8JQChiYndjK8ryvPDrSizuJPahxDgPNBMBfgmzE4+KJgQsV3p+7LoDoUfwyV//AgiKbbKXRk0NAEDt1+8b54lvfBNd7ot/bwnshfARPvzolHbHiHa5RQTiAan27s4uQNuxlhVGa2sVdL0fVDUv0Zaar1WcWX0mPpm3stvWp4IFCyTsu1dBo+DT0yNYD4qQrgQhDw1FcSSpGP7m847X1R3hr75CcOFC9L/3Xgi19zz+e4+lDMP0SbyaggtPPQK/r6tDs0mQFgGQqNGAZqOjpyAMC1aOhhqY8MaeMfHxHe3XBYD+IQvHleUdUJ8m4ErXDxmEJTtOxDhjAwJ6K0DtLBUAxQaWWLL9W31nfhg66BoAyFoL+naJyJnBdjlOOllS+y1d10Vk2xSJ1MAwGhE3uj8GoA7AaRdORE6gBBCAIhRIISGFhBAisS6FhCIVaKoGTdGgKPa6oijQFA2qokJK+5z2ydoevPs/MVAZ3Iltacalrh/p8YAyNFnhN9n/x6eh9uuH/IsuzLQpKcFChWGYjPOLowfhHx8HMaUkH4+MGORoXW55VIQQ+PP6S3HEEQamXTPN0bo2P3gloos+xej7VzlazyefvIANGzZh7OGjUVhY7lAt9qQGTiOkBFku1OP1wmpqcrye7ghVrkLDa6+h+IYbIPX0DL92i/QmL2AYhukBXkVixoBizKupdzzrqSZdEioye7O49hQh7TwqlkPDkxO4ccmEO4JI+nwgF2JhuqPuebvrqeT63jcX0CEJlYcffhhCCNx+++2JbTfccAOGDRsGn8+H0tJSTJs2DRs3bjxUOxmG6eNMLAig3jCxrsnZLJ66lKA0zQtzMNI190w2IUV8NJWzD143xJ1Q3BmeLPw+kOlOsHNXRHbsROMbb6Ds17+GDLgQ/5NmeixUVqxYgaeeegpjx47tsH3ChAl45plnsGHDBixcuBBEhMmTJ8PM8I1iGCa7+W5BLkp1FS/trnW0Hl0IO1zEYYRsN9NwH0HGPSqm0w94F66ZqkMYqc2S3BOkz++KIDoYe2bOBAAUXDw9o3b0lB4JlaamJlx22WV4+umnUVhY2GHf9ddfj1NOOQVDhgzB+PHj8eCDD6Kqqgrbtm1Lh70Mw/RRVCnw/X6Fjnf/6FKAXOj0TsyLk3UzDfcc6ULXj3AhcR0AQNMgLBeESiAAxOYsygQUiSD06acovPQSSH/vnAOoR/9cb7nlFkydOhVnnnnmQY9rbm7GM888gyOOOAKDBnUeIBcOh9HY2NjhwzDMt5OTCnOwJ2JgZ9i5B4hHyrZc8A4SFyrv1SmO1+UW8bgby+HRMq480jXNFY+KkpMDALDCLiSx64S9s2bBampC4WWXZaT+dJCyUHnxxRdRWVmJmTFXUmfMmjULOTk5yMnJwYIFC/D2229D7yLKeObMmcjPz098uhI0DMP0fY7Ntd/4VjUml3K8J+iKAKRA1PHuC5t8V3SKO2/rirQHipKDCeYI5IpXRWg6hOlekKtZV+daXe1p/Ocb8AwbBs+wYRmpPx2kJFSqqqpw22234bnnnoPX6+3yuMsuuwyrVq3Cv/71Lxx11FH44Q9/iNYuxpHfddddaGhoSHyqqqpSawHDMH2GMo+GwzwaKhubHavDG/MKfDNHixMololjApkf8ZEupEseFVcCkTXdla4fpaDAXok6X1dn6MOGIrJjR8YDeg+FlPKorFy5EjU1NRg/fnxim2ma+OCDD/Dkk08iHA5DUZSEd2T48OE48cQTUVhYiFdffRWXXHLJAWV6PB54POmbjIxhmN5NRY4Pm5udc5NrsSDXVsMCHP7pkWR1Ot9QbyUeo2I66IkgYcByYzSOprniUZF5uQAAo74e+mAXEtm1o+Gfb6B56YcoufEGCKX3dkGmJFTOOOMMrF27tsO2q6++GiNHjsSdd94JpZMLQbEgonCG+ucYhuldDPLq+LDeuQRZeswr0Bp1ISspCGYn8w31VtryqDh37UwRwbaaDY6Vn0DTIZ3OBwNAybWFittdP40LF6H6F79A/oUXouTWW12tO92kJFRyc3MxZkzHGU4DgQCKi4sxZswYfPXVV/jb3/6GyZMno7S0FDt27MDDDz8Mn8+Hc889N62GMwzTNxnk1VHVGnGs/LhHJeJCVlIZmyXXDdwYct2WR8VZkVcU6O9o+QAgdJdG/eTlAwDMhgbH62rPviefQM6pp2LAzN/2+pw+aU2h7/V6sWTJEjz22GOoq6tDWVkZTjnlFHz00Ufod8DEWwzDMAeSrykImRYMixKzIKcTTbHLDLvQZy/JgumCIHILGQ+mddCj4hX58CjOJyWTug5JFsg0O+0WIcuCFYkgGm5p+0RaYERaEA23IhptRTRiL41oGDsMA/ViAEzSEDIttFgWQoYBsW0HfgBg2bMvoPXNRRCWZc8xZFpt65YFaRj2xzSgRA0ohoH6Y47F9P/6bcptC61YgfCWL1B6x097vUgB0iBUFi9enFgfOHAg5s+ff6hFMgzzLaYoNqtrnWGgVNfSXr4W7/oxXMh+CrgynwxcEkPSha4fRaowUhw23BgKYtHa9xGORBA2IoiaBiJGBBEziqhpf49aUUTNqL20DFTnrcbemxUos8bBkoAhAVOQvZSAKQmmktpDviXnTDQVXQUtGoE3EoFXRJHXfzBGDR+FQEsLPHt2gYQEpARJBaS0rZt+DwxNhaVqIE1F7hdfoHTpBynVH2f7NdcCAALfndSj87MNnpSQYZisQo95UaIOPXzj5UdcGJ6skAWzLwXTKnGh4ty1U6QKI8Ug1ycW/gkvNs7puJEEFFIgSYFCKhRS7XWoUKFA+gQs+HGGOAo6FKhQoEoVmqpDlZq9VDSoqgeapkNVdGiaB5rqgarbS03zQNN9UHUvfrL6f1CohPDOiSOg6XpHL82lU1O+Dov++3/he/YvIKKUvSKlt9+Gmv/6HYSWfqGfCVioMAyTVXhiQiLskFBRXRQqEtS3un6E/chw0qOiKiqiRmoxShZZkCSx8Jx3oes6vLoHuqZCUWViKgOn8az/MwyKQvf50lKempsLf2sLmg0TOVqKj2qp2KOa+kC3D8BChWGYLCOe56TVobd2GfvxNt2Y7wfuBdO6gRt5VFRFRWsktYR/HtUDQQr6l5U4ZFX36IoPTeH96SsvJweSCE1NzcgpzE/p3OYlS+CbMCFttmQaF2a8YBiGSR6nPSoiVqwb75oKEaw+5FFRFOc9KrAkIilOoeBX/TBlNOUuo3TiUTwwrPSl4dBj+VeaU5xWxqyvR/PHHyPv7LPTZkumYY8KwzBZhSf21h52yKMiXJwkUPY5j0pcqKT33hARLMuCZVkI7ouAPCZCDWGQSSDDghVfhqIgCyAFsAxK7Bc1BAgg2NqEwkBBWm1LFo/ihWl1noG9J3h7KFSgKICiwAz2nXnzWKgwDJNVKLGumd9t+RxHeaOwZ3+x7OSRICDx4CcIANKeugcC9sy7AgQllu/D7qMXkLG9EMBntRJAAC+tqcQnmy17duNYsRSrzV6nRFUEIBKMokQtgYBMJLIkAoJNTdi/fz/KywclRAnF8qfs8eQjuGUF1lx3PSAAEnE7YnJJCDv/Sbvv9UYDWjxh6B7dnjxRxCZRjMdaSNFxuxDwrfoCfovw2NKb7JbGrmGsNvvKiNgy9t8twRp8Vr8DF5Qfm8RdicX1NDcDOBx/X/gx/vbuso5TDFG7mY9j232GBzmmHxISFuxrbVFsCUpso/YFBYBcy4famcuTsMumPGAAg4HGUEPGhIpX9cEy0+dR8eXmwgDQ0pBa8kMlNxf5F5yPuhdeQMl116XNnkzCQoVhmKyiUJUQZgOWNOVjSZNDOe5NC2+tMCAiqXgGVAD17b5Tu+6jXIi9bfvi2wUBhcEaBGs2QMREjIgJIwFq64aieFkERTTDJ0yokPY5ZJcjYuWBCJLayrc/hPWDBP761VK0ybj2lrZtoNgn3vK/fJnCEFgijMxvxUB9APx6ri1MYo0Vot16bHv+bh39woUIDCyAlBKKVGJLCalISKnY61KBVOztIAG11QvDXwgo0tZjih0UK/aGAK8KUeqDiAXKCkUgd3sDEAJaW53LaNwdPtUHovQJlUBeHhoAtPbAM+KtqEDDy6/AikQgu5gQuDfBQoVhmKyiUNcwYNcduLziclw9+mpIIW1PiZD2euy7FfN4mGTZSxAsQuyNHSCy39UtsuzjyQJiM/OapgXt+MF2ptW4N0YgVj5sD4wAJOzvUTOKJx75XwycMBBXn/1jCCESHwAHfO/I+Sm1/9y/nIt8JR8vXP5CSuedAOCKFI6/4/078M72d7DyyrXdH9xD3n7u7zhsQw4qbjrHsToAoC5QDqwEgi1BR+s5GD7NB6QxRiUn3xYqkabUxBcRoeH1efCfeGKfECkACxWGYbKQPD0PftWPQm9hpk0BYMdkCAEomoTu8I8/xcSU08TT4TuJFvAgYPhgWVZixJAT5PjyAADBUObiMvyqF6AwDMuCmoa2BnJzAABGMDWhEt68Ba2ffYbyWb8/ZBuyBR71wzBM1mGRBUVkz2yvUkrbO+PCrL4AXBEqblxfb04AChQ0BusdrSfXbweeNoUz1/WTo/khQKiPpiegVokJYuOtBSmd17R4MaBp8I8fnxY7sgEWKgzDZBVRM4q6cB1ajJZMm9IBO7i274zgcSMZmC/PnrOnrj59+UU6I+DLgSCBpnDmun5yVDvRW104tRwwB6PJ68ORn63Cx3/6c1LHm8Eg9s+Zg8IfXAyloCBtdmQaFioMw2QV876cBwDI96SW5MppSLjnUXEjyYsbQsWfY3dfhFLsvkgVxavBZ3kQzKBQydP9AIDaSPMhl7W9JYzzVm7GtEf/BACgRQuTOq/xjTdgNTWh+IYbDtmGbIJjVBiGySo2122GT/XhslGXZdqUDlBstI4b9bgSo+LCe6onxw+gDrV1ex2tR2gK/JYXzZHMdf3kabZQqe+hUIlahEe37cbSuiA+bQzBJyUu8kpAUTDyoguSKiP47nsITJwIraysRzZkK+xRYRgmawhFQ3h5y8u4avRVUGV2vUeRoNjIob5B3KPipJdI+ux7uH7nOsfqAAChCATIj6booXszekq+bnuPGsI9s+GU5Rvw2Nd7MNjnwfXlpXhu7FA8WLUJAJA7eXJSZZjBRmgD+veo/mwmu34JGIb5VhMyQgibYYwuHp1pUw6AQKA+lA4/7lExLAO6dGYkU1nhAOzB1xjqHeJI+e0JkA9NGfSoFHhsj0pDtGcxKg2GiYkFAcyqODyxbceyZfCNOxZqcXG351stLYhs+xqBk07qUf3ZDHtUGIbJGnyxgMTmDL4ZdwWJvhlMa8E5j4qmagjJVqhR5x81fuFDs5E5oVKs24HDwR4KleF+L5bVN6P/+6uxcF8DAIAMA0pObrfnmsEgdv3mN7CCQRRMn96j+rMZFioMw2QN8eRsETOSaVMOoK95VOLDk50OEG5RwrBanJ8sMEcG0GSmb8RNqhQlhErPRPZLxw6DGgtNumrtVmxvSS55XGTHDmy96Pto+tcHGPjII9DLy3tUfzbDXT8Mw2QNH+/6GATCCQNOyLQpnUIuRNPasxW5UE/Mo2LAWRHRqkWAVudjewJKALutfY7X0xX5sVE/TdHUhtU3GiaOWrIW5V4NRuy2T+tXgME+D6qAdnNb2RARrGAQSl4eWjduxPbrroP0+3HE669DLz8sDS3JPlioMAyTNayuWY3Dcg7DYTnZ+YPrhoCQkK4E7boRTAsAEdWAiDh/3QJaAM2RzHlUNEUDCQ1NKXb9HLXEnsJgR2sUdxxehnf2N+LyAXZMipAd/xYaFyzA7gcfgrl/P3zHTUDkiy+hlpVh8JzZScWx9FZYqDAMkzVsqt2EUUWjMm1G17jQ8yMhYcJ0vB4FdtePSc7WZakERJ2/cDlaDpojmU0SKIQHoRSEyh+ragAA55bkY87RRwAA7hw6oO0AVQGabY9X3UsvYffd9yB3yhQEJk5E8L13ETjlZJTeemufFikACxWGYbIEIsKmuk24dNSlmTalU9zqklGgOC4egDaPiuN1CRzQfeEEOXoOQs0ZFirShxYzORvqogbu/qIax+b6EyLlgPJUDWSYCL7zDnbfdz8KLpmB/nffDSEECmf8KJ2mZzUsVBiGyQpCRgj14XoMzh2caVM6R7jT9aMIBQY5H3wan5TQ6ZFMJOL/cZYcTy5aZRhRMwpN0RyvrzOk4kU4SY/Kq3vqAADPHD2ky2OEoiC0fDlaVq1C7llnof9vfuNKRuFsg0f9MAyTFWyp2wIAOCK/87fLbwuKcMejEhcqjosiAQgXusxyvHbCteaWzA1RVqQXrUmOPPr1lp0AgDyl68khjb12Rt/ApEk47JH/hFC/nb4FFioMw2QFq2pWwaN4cGTBkZk2pUvcyKOiCtVVoeJ0MK0LzhQAQK4/DwDQ2FjvToWdoEgPomZyw4rjnLJ8Y5f78s45GzmnnorDHn8MQncmKV9v4NspzxiGyTre3f4uThxwInTl2/uDDACKVFwJpo1npnVeFJErHpW8QAEAoCFYDyKCQQaiZhRRK4qoGUG0pRbRcBPMaAiG0Qwz0gwz2gIr2gLTCIGirTCNFlC0BZXVyzDAW4z+ngLACANGBMIMQ5hRCDMCWAZgmbGlAWGZAJn4bWgvFCUfK2edA2GZEGRAkAVpGZBkQrFMCDKhkIkllgmV7A8+VhJl2R8LkAoKrnkLBRdf7PzFy3JYqDAMk3FW1axGZe0O3HjMeVi1fwfi3fACyc/yG38WGpYJiywQCKZFsGCBCLBgZ5Y1YYGIoBt7kS/qE8eCCESW/QHBjNTAMhuheIeCQMjL3QvdaMWmTQsghICUEkK0feypBIUdNypkbF2gzmhFmLwJbwwRIf4/+/+xOYRiDWg2mtGMZvxj8z86HBNvZOJcHOjh+eY+AiHaFEUxiqFK1d4W275nxx6UhcrwfuX7KPQUdiyPYhlr41/b2b4zuBMexdNhBFT789rbCQKObM7HpnAhNjy7ClLKdjc2FmNr3xz7+seWpkWImBbCpoWoSQibVuw7IWpZWFBnd++ckuODZREiFiFohdEsb8G0ryoB6zMQqQCpIEvDr5S/40Z1flJ/RwBwPAATQFQIRIVERNpLQyowhIQlFVhCgoS0l1IBCYlSvQimVgyp+QCpAEIBpApTKjCliqhU7W2KCkgVUUgclZsD6DogVfuc3WuBz18Fyo8HCg7vztRvBYKyLCd0Y2Mj8vPz0dDQgLy8vEybwzCMwxARvrPkfWw3i1yv+wm6DkWodbyeX+/0IWRlJghy8o7JyI12n4Y9XSSEUmw5NHIk7rWKoaHzWIPOroqEgC4ATQjoENCFgC7blitb7e6Vk3P9kALQpYRHEaiRu6EUKfDqCnRVwqsp8KoKTln9JMYpX6HpjBuhaD77owag6H5omr1UtQA0PQeaHoCq5dhiwm12VgJzLwRKjwIufwXw9q5noFPPb/aoMAyTUZ7cXoPtZhEuLoqiwmeC0OHFvFMOGH1D9n+kkIAAFEhIISEhIIWwPSCxR6IUAuuCTZi7PwC17BqU5A+2fSExLwgA20NiNIKsFmiewyCEgBk1kIMc21tABMsyYx4YQswlAAJBtGvBF3tfhRpaiNtG3Yx+gaMScSF2fSLhLRLC9sZIIWGSiRbZAlVV29kjEuuxAmL+m2/sT3ii2r7PmzMPcrDE9LOmQwqZqFdAIEKRxPxK7ctobxeEHc8Sr8un+ZDnyTvQ/nbf27Nu6y7gqUrMnDoYF598dMfbRuTKKJbFG59BxMzFUSf+u+N19ZjqVcCzF8ZEysu9TqQ4CQsVhmEySoNhx0g8PvY4KC4NvXynej3m7o9gWMl3MLZsvGP11FAVQtsX4juHH4dhpZmZFmCemAfdo2P0oOybkdq1obaqDhGNulNXqgR3A1s/AOb/HCgeHhMp+Zm2KqtgocIwTEZZUhfE+aUFrokUADBikx6qqtfReqS083mYVvZNsvitQvVAyYZ7QATUbwe+/gj4+kN7WfulvW/IycCM51ikdAILFYZhMsay+iasCbbg3waXuVpv1GoF4IUmHRYqwv6JzahQEe4Mq+6WTNqgeqBQhjwqRgTYtxnYshBY+WdbqABAv9HAsNOB0/8fcPhJQG7/zNjXC2ChwjBMRiAiPPhlNcbm+nBuqbtvkWbsmamIrpNtpQNF2kOtTSuz3Q5ZIVQyiFB0qG4JlUgzsHG+PXKn6mMgtN/ernqB0d8Hzj4fGHwi4Hc/eLy3wkKFYZiMsGBfA1Y2hvD3Y4ZBupwW/MOgLVDqDWdziEgZ86hk6m0eAAn61gsVqB53hMrXHwEv/wRo3GkPLz7heiC/3B5mXH48oDnrweursFBhGMZ1DIvw26924XuFuTi5yL2hs3EGxnLKeaWzD3BF2DEqVoY9Km7M+pzNCMUDDQ5PFbCzEnjuB8CAY4Cr/gkUD3O2vm8RLFQYhnGdv+2uxRehMP5QkZmEVkM89tLn8CQi8a4fI8MxKhY5myb/YDSH7Llvauucz1fTFVLTocFBsUgEvHGHLU4u+zugB5yr61sICxWGYVylNmrgP7fuwoX9CnB0rj8jNiTmuXH4Aa7EZvEly/nZkLtCCAHTdD4lf1cYpn2NVZm5WX+lqsODqC0onOhm3LYU2LUauOxlFikOwEKFYRjXICLMePdz1HgIr9XUY97Oyk57JWbk5OJ/ThrumB3xZ5UFh4WKiAXTZjBGBSpgRjMnVHSPHZdRWlKSMRtkLDaEzCiE6sBcUh89YY/iOfKM9JfNsFBhGMY9/vCvL7Hx090YN74/CnwahNaWQj0uHt4Lt+LzYIujdohYMndyeObguEfFogx6VBQBy8hc10805lHRFIf72Q4CxSa6tIwwlHQLlbpt9tDjC//gjLeGYaHCMIw7vLthD/5r4SbcftqR+OnkEV0eN2T+SpCzo4YTGVGdjjFVReaHJws1s0Il0fWTQaGiaHZQUjTcCsWb5uDtfVvs5RGnpLdcJkHm/nIYhvnWsKaqHv/2wiqcNaoMt5951MEPJucFRHw4NDkcoxIy7cnzttV/6Wg9B0NqEmRkbtiPYdjeJFXN3HtxXKhEwq3pL7xhByAkkMMJ25yChQrDMI6ybmcDrpyzHCP75+LxGeMgkwiqdEuoGA7HqGjSfkBmctSPqqpwuJkHxYx1rwmZSY+KHaMSCTvQpRjcDfhLMjPb8rcEFioMwzjG5j1BXDlnOQ4v9uOZq0+AT3e4TydJtNioH8PhGJV8r519tDxnoKP1HAxVVUFm5jwqVmzEkSIzd+/VeNdPxAGPSuEQoLkGaN6f/rIZACxUGIZxiM+rGzDjjx+jX64Hc685Afk+LfmTHY5J1GJv94bDGVt1xX6TtzI46kdTNQgrc0Ge8e41kcHhyYonHqPigEdl6Kn28qv30182A4CFCsMwDvDZjnrM+OPHKC/04YXrTkSB34EhoYeAGlNChuWsUNEU+wFpZTCPiqZpEJRBkRAThZbD1/pgaLoPABCJhNNfeN5AoPhI4Mv30l82A4BH/TAM4wBPvvcFSnM8+OtPvoM8bwqeFNjOFKenpol7VKIOB9NqcY9KBmNUMu1RkbFrncmkc6pu3wejE6ESDTVi32dvQ5Bhy1cie5QxEQQIasFAFFZ8r+vCQ7VAfRUw4ccOWM4ALFQYhkkz63Y2YNH6PXj4+0enLFLcQo3FqEQdfstXpAaLgLDZgqZIE4QQEPF+rdiDUBDsZWwbyMKB4cSxczrk6RCQQkIRCoSUsAggVYdE2/BrAFBUBZK6d55blgUiewJD07JgWgSTLJgEWCCQRbAAWOEwNCMSb0KC9hMfKoqElPbHbLXjQkLBRjTV18GwCKZFMExCSySKBcs+h2FYiBgmDNNq+8SOM8n2fJkE+zyLUNsSgerPSWwz2+237RWwiGBa9kzZRdY+vCqAIfMvQ+sCGb/aIAB+CmFAt1cHCP98Gzw5hQfuWP8aYBnAMZckUQrTEwRl2bSajY2NyM/PR0NDA/Ly8jJtDsMwKWBZhBl//Bj7msNYdPspPcqdcfzzC1A1YACkaUKAICn2ME882O3vEgRQbD/i+xH7bh8nAfsYIFaWXUdUldgTyMe1H1XhiIZWEIk2bUDCXqX4EGYBIL6//b62cyguBCgmOWLHAgCZOrYe+yQW+rakfC2SRRChrv+9iHqOjNlhQsAEiDBy99c4dct6tKg6lMT1a7tG8euTFJaFnC2rIVIIQq7VCvBcefIPcUkmJAiSLHsJggJ7PW4zqQoUIeDRVSgCkAJQhIAiAUXYd0mRAqoAZGw5xVyM4wub4VEEhBCQQkAIW9TJnBLkj5tm10ACELH7DIGSuScnbAvmj0TO7R93EIL4ywW2gLzy9aTb2Fdx6vl9SB6Vhx9+GHfddRduu+02PPbYY6itrcU999yDRYsWYfv27SgtLcWFF16IBx54APn5+emymWGYLGXG0x9j+bZazL7quB4n+PrJqy9h59Ch6H/COFixN3wi2Ouw39zj2y3Y+yj+1p84jmwPA1FiZK5FSGwPRwg7ozqOaIliwMioLSmE/QCzn0ECQpC9lEjsB9Due/ycdvtFfNG2vnahjuMaR+LMI4+MPQDthyCJtiUofn5MAHVJQhmBAJhkwYIFiwi/pAEosOrwvfwQDBAMIphEsHQVX+IoGPBgXH4AQkgIaT+opZR2m6WMPbhtL42UAkJIyFjbpJQQAMItITRtqoT/uEkYeaQtikQ7e4UQHbwyZNmeEW99C3ILi6EqEoqw5/1RBKBIoCDgxVmTjoGuaUn9zWz6bDVeeOU1XHDWGRg/6eRuj2/jghSObcP6j1ps/cOPMGzf28ht2Ai6rwChW9fCXzIYaN4HbFsCTP3vHpXNJEePhcqKFSvw1FNPYezYsYlt1dXVqK6uxu9+9ztUVFTg66+/xo033ojq6mr84x//SIvBDMNkJ3saW7F8qz1D7hmjynpczpBd1Rjoz8X5089Ll2kHULdxO55/7AucfFoJRvzI2YyiGxYtwKjCkTjmzCsdref+RYtxtbYPPz3uB47VUVNfj2cB5I+dgNOmTE76vHPSaIOeiDdxZySVVBQMu/UfMIM1qP3DuSgNbYH25DjsKP0uilu+go8sYPBEV2z5ttIjodLU1ITLLrsMTz/9NB588MHE9jFjxuDll19OfB82bBgeeughXH755TAMI6OZCRmGcZZ7532OkhwP3v3pqYdUjhvTpUjNzulhGW4FeDrfKAFyPlFeLBeK07NOHwzdY48gi0bdDVBWcvuh9JefIrhjPfb/815oe1YDqAcJ2bEriEk7PfLN3nLLLZg6dSrOPPPMbo+N91V1JVLC4TAaGxs7fBiG6V0s3lSDBet2457zK5DvP8QAWhei5qQnPkmdG0KF4EYooLBrcrQOJZYLxenJHA+GGs+J4rJQseuMolHko7JsBuZ6rsbvc34J6//tA0q7nruKOXRSdnG8+OKLqKysxIoVK7o9dt++fXjggQdw/fXXd3nMzJkzcd9996VqBsMwWcScD7fhmPJ8nDc2mfETB0eSBXI43bpUbc8Amc4/cIUbkxfBDqh1Wg9lg+fAExMqRtTdJHpbt27Fa6+9hoaGBuTk5ODYY4/FCSecAEXJjmzLfZmUhEpVVRVuu+02vP322/B6vQc9trGxEVOnTkVFRQXuvffeLo+766678NOf/rTDeYMGDUrFLIZhMsgXNU34YPNePPqDY9LyIBNkgYQ7QsUynE/EZsfKOq9UJMgFj0o8eVsGu35izx43hUowGMQLL7yA/v3746KLLkJ5eTmHMrhISld65cqVqKmpwfjx4xPbTNPEBx98gCeffBLhcBiKoiAYDOLss89Gbm4uXn31VWha165gj8eTUMgMw/Q+Zi/diuKAjvOOOXRvCmAPL7ZcmsAutHwFcP25DtdCiaHOTmLnKHNHqGQyq4Wmxz0qzorMaDSKyspK1NTUoLq6GpFIBBdeeCGKioocrZc5kJSEyhlnnIG1a9d22Hb11Vdj5MiRuPPOO6EoChobGzFlyhR4PB7MmzevW88LwzC9l817gnjp0yrcefYIeNT0uMClZTre9SM0+6dPO3yIo/UAsSBXV57rLnhtROY9KvGuFic9KoZh4JlnnsHu3btRVFSEffv2AQA/zzJESkIlNzcXY8aM6bAtEAiguLgYY8aMQWNjIyZPnoxQKIS//vWvHYJjS0tLuS+PYfoQwdYobn6uEkOK/bhy4pC0letKjErst0gpKna0Hjdxw6Mi48G0GRz1I6UEiGAYzgmVyspKVFdX44orrsCwYcOwfv165Ofnw+/3O1Yn0zVp7WSrrKzEJ598AgA4MpYMKM7WrVsxZMiQdFbHMEyGaI2a+LcXVmFPQyteu3USvFr6XkKEZUE4/FIjEg9cN1wdbo36cT4SRhFuXreuEUQwHIwvmj9/PgA7xQYAVFRUOFYX0z2HLFQWL16cWP/e976X8T9ghmGcpSbYihueXYkNuxrx9JXHYVhpTlrLF+SGUInHWjhajV2X81XY9ZhR0N51ztaRLUIFhGiaY1Qsy0JlZSV27NgBAPD5fGktn+k5HLbMMEzSLN9ai397oRJEwN+un4hjBhWkvQ5pUaJrxjGUtokBnUYId2JU3En4FhN4Dk/m2B0CgGGmV6j885//xKpVqzBw4ECMGzcOU6dOTWv5TM9hocIwTFIs+nw3bv/baow5LB9PXDIOZXnOBBbaHhVnf5riHhV3nrfuPNSFVEEDxnZ/YBqIfLnJlXq6QiK9XT+bN2/GqlWrcP7552PChAlpK5dJDyxUGIY5KPWhCH7z2jq8+dkunFVRhv+dMQ4+3TmPh7RMSNXhYFrpnkfFrsf5KgQIVs+SjaeM1ZTZDOICAmYaRh4REaqqqvDmm29i2LBhHVJvMNkDCxWGYTqFiPDiiir8buEmGBbhsR8di2nHDnQ8O6kkC9Jpj0oi1sLRauy6XEn3Fhst5XCiPAAwpALf6HGO13MwpADMNEx/sGzZMixatAjFxcU499xzsyLzLnMgLFQYhjmANVX1eOjNDVi+rRbfH38YfjllJPrnu5NDQhJBKM4+cL+atwwAoDjsuXETAXJFqECIjAfTSiHT4lH54osvcMQRR+CKK65IxN8w2QcLFYZhEmzb14yHF2zEW5/vxrDSAJ77yXcw6cgSV20QZEE6mJ5888sf4u23w/Ab9Rg143TH6oljJ3xzITMtuSNULCGBDOZRAezJEU3r0D0quq6jubmZRUqWw0KFYRgAthdl2u8/THyvCYZx6/OVCXe4gD1vTduA27a36vgLNiW+t9v3zWM62de+b2QugPK/z8am1589sG9GiAM+oqvt7b9LCQg7tuHto34DAAipBXjhkbWJcuNNE+3qSvQEHNjkNtOIOrSDvnFAi5kHfL0AeCSVyVd74LGo+G88RUMwYHsNbhzcL/XzkyUbPCpSwEzDhJIVFRV45ZVXsHv3bvTv3z8NljFOwEKFYRgAwJCSAH580hAU+nV4NAkiezK99gKDYg/ixPO7naOgs/79+CbRLptI27ZOyoDA16W/wvF6i51Ern2RBPvhT2R/oXaJ1LraZ1FiO5EFEGH8ri2obBiOY84cBK9fAzq0EYkVipcba7voaGjbIi7kOlyLtoNE7RYMLz4ayBl5wPVJJw9RPX5oAuubWxyth4SA5cKs0wdDkRLRTkb9WJYF0zRhGEZiebD1+FQAK1aswPnnn+92M5gkYaHCMAwAIN+n4d4LRmfaDOCUoY4W3w/AREdr+CZDAJzleC2nADihcovj9ZAQsDrp+iEiWKYBIxKFaURhRCIwoxGY0SiMaDS2jMA0ojAjURhGFGYkEjs2ti8atc+JbUuUY8TOj62HQlG0BvLx+OOPIxqNJj49nYOotbX1UC8L4yAsVBiGYfoIFhEqG0NYWhdExCJEiRCxCBHLQoQIUYsQiW2z1y1ELUI4tq+z46NECLc7/rtCwFz8Fv64/F8xYdEmQnqCkBKqpkPRNKiaBkXXoahabJua2KdoOny5eVA0DUeRQDiQj9JBg6FpGjRNg6qqiY+iKCmtc4xKdsNChWEYpo+Qpyr4tDGEi1d/2el+RQC6ENCkgCYkdCmgCwFdCmix7R4pobXbFlAkCrW2bXTOxRjeUo8in88WFjEREV9XE0KjbZ8tQnSougZFtcWIqtr7Hc9CzPR6WKgwDMP0Ef44egh2haMJkaFL2W5dJCYVPCRGDDr0MhgmBVioMAzD9BFyVAXDVfZQMH0L7phjGIZhGCZrYaHCMAzDMEzWwkKFYRiGYZishYUKwzAMwzBZCwsVhmEYhmGyFhYqDMMwDMNkLSxUGIZhGIbJWlioMAzDMAyTtbBQYRiGYRgma2GhwjAMwzBM1sJChWEYhmGYrIWFCsMwDMMwWQsLFYZhGIZhspasmz2ZiAAAjY2NGbaEYRiGYZhkiT+348/xdJF1QiUYDAIABg0alGFLGIZhGIZJlWAwiPz8/LSVJyjd0ucQsSwL1dXVyM3NhRAi0+YkTWNjIwYNGoSqqirk5eVl2py0w+3r3fTl9vXltgHcvt5OX27fN9tGRAgGgxg4cCCkTF9kSdZ5VKSUKC8vz7QZPSYvL6/P/TG2h9vXu+nL7evLbQO4fb2dvty+9m1LpyclDgfTMgzDMAyTtbBQYRiGYRgma2GhkiY8Hg/uueceeDyeTJviCNy+3k1fbl9fbhvA7evt9OX2udW2rAumZRiGYRiGicMeFYZhGIZhshYWKgzDMAzDZC0sVBiGYRiGyVpYqDAMwzAMk7WwUEkDlZWVOOuss1BQUIDi4mJcf/31aGpq6nDM9u3bMXXqVPj9fvTr1w+/+MUvYBhGhixOjc2bN2PatGkoKSlBXl4evvvd7+L999/vcMy7776Lk046Cbm5uejfvz/uvPPOPtW+FStW4IwzzkBBQQEKCwsxZcoUrFmzJkMWJ093bfvzn/8MIUSnn5qamgxanhzJ3DvAbufYsWPh9XrRr18/3HLLLRmwNnWSaV9n9+7FF1/MkMWpkez9A4D9+/ejvLwcQgjU19e7a2gP6a59+/fvx9lnn42BAwfC4/Fg0KBBuPXWW3vFXHfdtW3NmjW45JJLMGjQIPh8PowaNQqPP/54zyoj5pDYuXMnFRYW0o033kgbN26k5cuX00knnUTTp09PHGMYBo0ZM4bOPPNMWrVqFc2fP59KSkrorrvuyqDlyTN8+HA699xzac2aNbR582a6+eabye/3065du4iIaPXq1aTrOt133320ZcsWWrx4MY0cOZJ+9rOfZdjy5OiufcFgkIqKiujHP/4xbdy4kdatW0fTp0+nsrIyikQiGbb+4HTXtlAoRLt27erwmTJlCp166qmZNTxJumsfEdGjjz5KAwcOpOeee46++OILWrNmDb3++usZtDp5kmkfAHrmmWc63MOWlpYMWp08ybQvzrRp0+icc84hAFRXV+e+sT2gu/bV1tbSrFmzaMWKFbRt2zZ65513aMSIEXTJJZdk2PLu6a5ts2fPpn//93+nxYsX05dffknPPvss+Xw+euKJJ1Kui4XKIfLUU09Rv379yDTNxLbPPvuMANCWLVuIiGj+/PkkpaTdu3cnjvnDH/5AeXl5FA6HXbc5Ffbu3UsA6IMPPkhsa2xsJAD09ttvExHRXXfdRccdd1yH8+bNm0der5caGxtdtTdVkmnfihUrCABt3749ccw373E2kkzbvklNTQ1pmkZz5851y8wek0z7amtryefz0TvvvJMpM3tMsvcPAL366qsZsPDQSOXvc9asWXTqqafSu+++22uESk/+/RERPf7441ReXu6GiT2mp227+eab6bTTTku5Pu76OUTC4TB0Xe8wAZPP5wMALF26FACwbNkyHH300SgrK0scM2XKFDQ2NuLzzz931+AUKS4uxogRIzB37lw0NzfDMAw89dRT6NevHyZMmADAvgZer7fDeT6fD62trVi5cmUmzE6aZNo3YsQIFBcXY/bs2YhEImhpacHs2bMxatQoDBkyJLMNOAjJtO2bzJ07F36/HxdffLHL1qZOMu17++23YVkWdu7ciVGjRqG8vBw//OEPUVVVlWHruyeV+3fLLbegpKQEJ5xwAubMmQPqBemxkm3f+vXrcf/992Pu3LlpnejOaXry76+6uhqvvPIKTj31VJetTY2etA0AGhoaUFRUlHqFPVFTTBvr1q0jVVXpkUceoXA4TLW1tTR9+nQCQL/97W+JiOi6666jyZMndzivubmZAND8+fMzYXZKVFVV0YQJE0gIQYqi0IABA6iysjKxf+HChSSlpOeff54Mw6AdO3bQySefTADo+eefz6DlydFd+4iI1q5dS8OGDSMpJUkpacSIEbRt27YMWZw8ybStPaNGjaKbbrrJRQsPje7aN3PmTNI0jUaMGEFvvfUWLVu2jM444wwaMWJE1nsziZK7f/fffz8tXbqUKisr6eGHHyaPx0OPP/54hixOje7a19raSmPHjqVnn32WiIjef//9XuNRIUr+39+MGTPI5/MRADr//PN7Rdddqr8tH374IamqSgsXLky5LhYqXXDnnXcSgIN+NmzYQEREzz33HJWVlZGiKKTrOv385z+nsrIyevjhh4koO4VKsu2zLIsuuOACOuecc2jp0qW0cuVKuummm+iwww6j6urqRHmPPvoo5eXlkaIo5Pf7aebMmQSAXnzxxV7fvlAoRCeccAJdeeWVtHz5clq2bBlNnz6dRo8eTaFQqFe3rT0fffQRAaBPP/3U9Ta1J53te+ihhwhAhx/HmpoaklLSW2+91evb1xn/8R//kdGug3S274477qAf/ehHibKzQag4cf927dpFGzZsoNdff50qKioy9rLg1N/m2rVrqaSkhB544IEe2cUp9Ltg79692L9//0GPGTp0KHRdT3zfs2cPAoEAhBDIy8vDiy++iB/84Ae4++67MW/ePKxevTpx7NatWzF06FBUVlZi3LhxTjWjS5Jt35IlSzB58mTU1dV1mKJ8+PDhuPbaa/GrX/0qsY2IsGvXLhQWFmLbtm2oqKjA8uXLcfzxxzvWjq5IZ/tmz56NX//619i1a1fC9RyJRFBYWIjZs2djxowZjrblmzhx7wDg2muvRWVlJVatWuWI3cmSzvY988wzuOaaa1BVVYXy8vLEMWVlZXjwwQdx3XXXOdaOrnDq/sV58803cd5556G1tTUj88uks33HHnss1q5dCyEEAPs3xrIsKIqC3/zmN7jvvvscbUtnOH3/li5dipNPPhnV1dUYMGBAWm3vDifatn79epx22mn4yU9+goceeqhHdqk9OutbQGlpKUpLS1M6Jx6DMmfOHHi9Xpx11lkAgIkTJ+Khhx5CTU0N+vXrB8DuO8/Ly0NFRUV6DU+SZNsXCoUA4IC+YSklLMvqsE0IgYEDBwIAXnjhBQwaNAjjx49Pk8Wpkc72hUIhSCkTP5bx/UKIA66BGzhx75qamvDSSy9h5syZ6TO0h6SzfZMmTQIAbNq0KSFUamtrsW/fPhx++OHpNDtpnLh/7Vm9ejUKCwszNgleOtv38ssvo6WlJbFvxYoVuOaaa7BkyRIMGzYsjVYnj9P3L74vHA4fgpU9I91t+/zzz3H66afjqquu6rFIAcAxKungiSeeoJUrV9KmTZvoySefJJ/P16GPOD48efLkybR69Wp66623qLS0tFcMT967dy8VFxfT97//fVq9ejVt2rSJfv7zn5OmabR69erEcY888gh99tlntG7dOrr//vtJ07ReMRIhmfZt2LCBPB4P3XTTTbR+/Xpat24dXX755ZSfn39QF3ymSfbeERH96U9/Iq/X22v6/omSb9+0adNo9OjR9OGHH9LatWvpvPPOo4qKiqwfWp5M++bNm0dPP/00rV27lrZs2UKzZs0iv99Pd999d4at755U/j7jZEPXT7Ik074333yT5syZQ2vXrqWtW7fSG2+8QaNGjaJJkyZl2PqDk0zb1q5dS6WlpXT55Zd3GDpfU1OTcn0sVNLAFVdcQUVFRaTrOo0dO7bToZ3btm2jc845h3w+H5WUlNDPfvYzikajGbA2dVasWEGTJ0+moqIiys3NpRNPPPGA2JrTTjuN8vPzyev10ne+851eESQcJ5n2LVq0iCZNmkT5+flUWFhIp59+Oi1btixDFidPMm0jIpo4cSJdeumlGbDw0EimfQ0NDXTNNddQQUEBFRUV0UUXXdRhqHk20137FixYQMceeyzl5ORQIBCgY445hv7v//6vQ7qEbCbZv884vUmoEHXfvvfee48mTpyY+O0cPnw43Xnnnb2ifd217Z577uk0xuXwww9PuS6OUWEYhmEYJmvpPYPSGYZhGIb51sFChWEYhmGYrIWFCsMwDMMwWQsLFYZhGIZhshYWKgzDMAzDZC0sVBiGYRiGyVpYqDAMwzAMk7WwUGEYhmEYJmthocIwDMMwTNbCQoVhGIZhmKyFhQrDMAzDMFkLCxWGYRiGYbKW/w9fhIjNrqpcVAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing with island triage - RUN ONLY WITH ISLANDS\n",
    "print(\"If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\")\n",
    "print(\"This would need adjustment for multi-county islands like Michigan UP\")\n",
    "for c in range(nCounties):\n",
    "    if hasIsland[c] :  #rebuild the county geom with the translated islands\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in countyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "MAP = countyGeom[0]\n",
    "plotPoly(countyGeom[0])\n",
    "for c in range(1,nCounties):\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "    plotPoly(countyGeom[c])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "4aebe4ee-ee7b-4bf3-8413-f315556d453e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "computing all county centerpoints, then plot them\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"computing all county centerpoints, then plot them\")\n",
    "countyCP  = list()\n",
    "cutCountyList = list()\n",
    "for c in range(nCounties):\n",
    "    cTL = countyTractList[c]\n",
    "    countyCP.append(getHDcp( [tractCP[v] for v in cTL], [tractPop[v] for v in cTL], [i for i in range(len(cTL) ) ] ) )\n",
    "    if countyCP[c].disjoint(countyGeom[c]):  #possible with weird-shaped county\n",
    "        countyCP[c] = nearest_points(countyGeom[c],countyCP[c])[0]\n",
    "    plotPoly(countyCP[c].buffer(0.03))\n",
    "    plotPoly(countyGeom[c],0.5)\n",
    "plotPoly(MAP)\n",
    "plt.show()   \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "207f3a55-e361-4777-ae46-41fe3d54a4b8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This code block reads in a csv with whole districts to be cut out of the map\n",
      "For NC my input file says to cut out 1 districts out of 14\n",
      "performing cut no 0 for state NC\n",
      "special for NC - include vtd 1828 from county 55 in the cut list for contiguity\n",
      "the total proposed cutPop is 745987.0 . Compare to 745670\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to apply the cut 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are your cut districts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"This code block reads in a csv with whole districts to be cut out of the map\")\n",
    "unclippedMAP = MAP\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "nCutDistricts = nCuts\n",
    "nStops = trimDF[\"nStopLines\"][DFrow]\n",
    "nDistricts = trimDF[\"nDistricts\"][DFrow]\n",
    "stopLines = list()  #the 'stoplines' stop wedge growth that hops across concave map areas (not currently used)\n",
    "cutCountyList = list()\n",
    "allCutLists, allCutPops = list(), list()\n",
    "print(\"For\",STATE,\"my input file says to cut out\",nCuts,\"districts out of\",nDistricts)\n",
    "if nCuts > 0:\n",
    "    cutList = list()\n",
    "    cutXs = ast.literal_eval(trimDF[\"cutXs\"][DFrow])\n",
    "    cutYs = ast.literal_eval(trimDF[\"cutYs\"][DFrow])\n",
    "    cutPoints = [Point(cutXs[i],cutYs[i]) for i in range(len(cutXs)) ]\n",
    "    for cutNo in range(nCuts):\n",
    "        print(\"performing cut no\",cutNo,\"for state\",STATE)  #first two cutPoints must form the cutLine\n",
    "        cutNotDone = True\n",
    "        thisCutPoints = [ cutPoints[int(4*cutNo)],cutPoints[int(4*cutNo+1)],cutPoints[int(4*cutNo+2)],cutPoints[int(4*cutNo+3)]  ]\n",
    "        while cutNotDone:\n",
    "            cutPoly = Polygon([thisCutPoints[0],thisCutPoints[1],thisCutPoints[2],thisCutPoints[3] ])\n",
    "            cutLine = LineString([thisCutPoints[0], thisCutPoints[1] ] )\n",
    "            cutList = list()\n",
    "            cutPop = 0.\n",
    "            for c in range(nCounties):\n",
    "                if cutPoly.intersects(countyGeom[c]):\n",
    "                    if cutPoly.contains(countyGeom[c]):\n",
    "                        cutList = cutList + countyTractList[c]\n",
    "                        cutPop += countyPop[c]\n",
    "                    else:\n",
    "                        for t in countyTractList[c]:\n",
    "                            if cutPoly.contains(tractCP[t]):\n",
    "                                cutList.append(t)\n",
    "                                cutPop += tractPop[t]\n",
    "                            if STATE == \"NC\":\n",
    "                                if t == 1828:\n",
    "                                    print(\"special for NC - include vtd 1828 from county 55 in the cut list for contiguity\")\n",
    "                                    cutList.append(t)\n",
    "                                    cutPop += tractPop[t]\n",
    "            print(\"the total proposed cutPop is\",cutPop,\". Compare to\",int(statePop/nDistricts) )\n",
    "\n",
    "            doIcut = input(\"enter 1 to apply the cut\")\n",
    "            if str(doIcut) == str(1):\n",
    "                cutNotDone = False\n",
    "                allCutLists.append(cutList)\n",
    "                allCutPops.append(cutPop)\n",
    "            else:\n",
    "                print(\"Here is the state and the last proposed cutPoly.\")\n",
    "                plotPoly(cutPoly)\n",
    "                plotPoly(MAP)\n",
    "                plt.show()\n",
    "                print(cutPoly)\n",
    "                oldPts = list(cutPoly.exterior.coords)\n",
    "                newPtXs = ast.literal_eval(input(\"enter alternate [ x0, x1 ] for the first two points\") )\n",
    "                newPtYs = ast.literal_eval(input(\"enter alternate [ y0, y1 ] for the first two points\") )\n",
    "                thisCutPoints = [Point(newPtXs[0],newPtYs[0]), Point(newPtXs[1],newPtYs[1]),oldPts[2], oldPts[3] ]\n",
    "allCutVTDs = list()\n",
    "for L in allCutLists:\n",
    "    for v in L:\n",
    "        allCutVTDs.append(v)\n",
    "if nCutDistricts == 0:\n",
    "    print(\"There were no cut districts in\",STATE)\n",
    "else:\n",
    "    print(\"here are your cut districts\")\n",
    "    plotPoly(MAP)\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        cutGeo = tractGeom[L[0]]\n",
    "        for v in L:\n",
    "            cutGeo=cutGeo.union(tractGeom[v])\n",
    "        plotPoly(cutGeo,2)\n",
    "        plotCenter(i,cutGeo)\n",
    "        plotCenter(allCutPops[i],Point(cutGeo.centroid.x,cutGeo.centroid.y-0.5) )\n",
    "    plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "6cc2c944-c9f9-468f-b972-31fcae6ddb7e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotPoly(trueCountyGeom[55])  #How we arrived at cutting vtd 1828 in NC\n",
    "for v in trueCountyTractList[55]:\n",
    "    plotCenter(tractPop[v],tractGeom[v])\n",
    "plt.show()\n",
    "plotPoly(trueCountyGeom[55])\n",
    "for v in trueCountyTractList[55]:\n",
    "    plotCenter(v,tractGeom[v])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "a866b0e7-19de-413f-a1e2-617d111e202c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Do we have any straggler vtd's in cut counties?\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Do we have any straggler vtd's in cut counties?\")\n",
    "for c in [60,11,5,55]:\n",
    "    plotPoly(trueCountyGeom[c],2)\n",
    "    plotCenter(c,trueCountyGeom[c])\n",
    "    for v in trueCountyTractList[c]:\n",
    "        #plotPoly(tractGeom[v],0.5)\n",
    "        if v not in allCutVTDs:\n",
    "            plotPoly(tractGeom[v],0.5)\n",
    "            plotCenter(v,tractGeom[v], 4)\n",
    "            #plotCenter(v,tractGeom[v],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "4c915415-6c44-4c43-9826-b565cebed95a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Write the vtd cutlists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Write the vtd cutlists to a file\")\n",
    "cutDistrictNo = list()\n",
    "for v in allCutVTDs:\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        if v in L:\n",
    "            cutDistrictNo.append(i)\n",
    "            break\n",
    "nbrDF = pd.DataFrame( {\"vtdNo\":allCutVTDs,\"cutDistrictNo\":cutDistrictNo} )\n",
    "outname = STATE+\"wholeDistrictCuts.csv\" \n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "nbrDF.to_csv(outpath)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "17721728-e5c0-4787-b430-9d7d94970667",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14 districts\n"
     ]
    }
   ],
   "source": [
    "countyPop = [0. for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    countyPop[countyNo[t]] += tractPop[t]\n",
    "print(nDistricts,\"districts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "f3073320-8d92-45ba-beb2-fb8c08d7170d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removed all whole districts.  Finalize stats before squishing in outcroppings.\n",
      "Of the total statePop 10439388.0 we ignore 745987.0 as it is cut out of the map\n",
      "This excluded pop comes from a total of 278 tracts\n",
      "Our final adjusted number of state districts, excluded fixed cut-out is 13 rather than original 14\n",
      "Each district will be drawn to house 745646.231 = 1/ 13 of non-cutout state pop 9693401.0 vs original= 10439388.0\n",
      "Here is a county-level modified map with each county's fraction of a district pop\n",
      "working on county 0\n",
      "working on county 20\n",
      "working on county 40\n",
      "working on county 60\n",
      "working on county 80\n",
      "here is the NC map excluding cut and unpop coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Removed all whole districts.  Finalize stats before squishing in outcroppings.\")\n",
    "trueCountyPop = [countyPop[c] for c in range(nCounties)]\n",
    "trueCountyGeom = countyGeom.copy()\n",
    "countyPop = [0. for c in range(nCounties)]\n",
    "trueStatePop, true_nDistricts = np.sum(trueCountyPop), nDistricts\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "# minTractPop = 4.5  #already defined above\n",
    "populatedTractList = list()\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "statePop, excludedPop = 0., 0.\n",
    "\n",
    "for t in range(nTracts):\n",
    "    trueCountyTractList[countyNo[t]].append(t)\n",
    "    if t in allCutVTDs or t in skipList:  #  or vtdPop[t] < minTractPop:  #need to keep low-pop vtds as VEST may have assigned votes to them\n",
    "        excludedPop += tractPop[t]\n",
    "    else:\n",
    "        populatedTractList.append(t)\n",
    "        countyTractList[countyNo[t]].append(t)\n",
    "        countyPop[countyNo[t]] += tractPop[t]\n",
    "        statePop += tractPop[t]\n",
    "        #tractPop[t] = max(tractPop[t],0.000001)  #avoid possible later div/zero errors for nil-vote vtds\n",
    "print(\"Of the total statePop\",statePop+excludedPop,\"we ignore\",excludedPop,\"as it is cut out of the map\") #,\n",
    "#\"or in sparsely populated areas (<\",minTractPop,\") per geom\")\n",
    "print(\"This excluded pop comes from a total of\",nTracts -len(populatedTractList),\"tracts\")\n",
    "true_nDistricts = nDistricts\n",
    "nDistricts -= nCutDistricts\n",
    "print(\"Our final adjusted number of state districts, excluded fixed cut-out is\",nDistricts,\"rather than original\",true_nDistricts)\n",
    "aDP = statePop/float(nDistricts)\n",
    "print(\"Each district will be drawn to house\",r3(aDP),\"= 1/\",nDistricts,\"of non-cutout state pop\",statePop,\"vs original=\",trueStatePop)\n",
    "print(\"Here is a county-level modified map with each county's fraction of a district pop\")\n",
    "\n",
    "vtdGeom = tractGeom.copy()\n",
    "nVTDs = len(vtdGeom)\n",
    "\n",
    "cutCountyList, uncutCountyList = list(), list()\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"working on county\",c)\n",
    "    if len(countyTractList[c]) == 0:  #no vtds added to county b/c all were in cut lists:\n",
    "        cutCountyList.append(c)\n",
    "    else:\n",
    "        uncutCountyList.append(c)\n",
    "        countyGeom[c] = tractGeom[countyTractList[c][0]]\n",
    "        for t in countyTractList[c]:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "uncutMAP = MAP\n",
    "MAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "print(\"here is the\",STATE,\"map excluding cut and unpop coastal tracts\")\n",
    "\n",
    "for c in uncutCountyList:\n",
    "    plotPoly(countyGeom[c])\n",
    "    FONTSIZE = 11\n",
    "    if countyPop[c] / statePop < 0.02:\n",
    "        FONTSIZE = 7\n",
    "        plotCenter(r3(countyPop[c]/aDP),countyGeom[c], FONTSIZE)\n",
    "    else:\n",
    "        plotCenter(round(countyPop[c]/aDP,2),countyGeom[c], FONTSIZE)\n",
    "plotPoly(trueMAP,0.1)\n",
    "for c in cutCountyList:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "    plotCenter(\"cut\",countyGeom[c],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "0062ac21-3328-4616-99ed-70c53e62b308",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now finalize the map topology before any squish operations.  Plot countyPop/aDP\n",
      "Working on county  0 distances\n",
      "Working on county  20 distances\n",
      "Working on county  40 distances\n",
      "Working on county  60 distances\n",
      "Working on county  80 distances\n",
      "the max LAT-scaled distance between counties is 5.17603\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter user-picked max district diameter, or 0 to accept 5.17603  3.5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Working on county  0 neighbors\n",
      "Working on county  20 neighbors\n",
      "Working on county  40 neighbors\n",
      "Working on county  80 neighbors\n",
      "I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#For corners and outcroppings, we fuse county clusters\n",
    "print(\"Now finalize the map topology before any squish operations.  Plot countyPop/aDP\")\n",
    "preSquishCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "maxD = 0.\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"distances\")\n",
    "    if c not in cutCountyList:\n",
    "        plotPoly(countyGeom[c],0.2)\n",
    "        plotCenter(r3(countyPop[c]/aDP), countyGeom[c], 7 )\n",
    "        for cc in range(c+1, nCounties):\n",
    "            dist = getLongDist(countyCP[c],countyCP[cc],xScale)\n",
    "            if dist > maxD and cc not in cutCountyList:\n",
    "                maxD = dist\n",
    "                #print(c,cc,maxD)\n",
    "print(\"the max LAT-scaled distance between counties is\",r5(maxD))\n",
    "plotPoly(MAP)\n",
    "plotPoly(MAP.centroid.buffer(0.5*maxD))\n",
    "plt.show()\n",
    "inputD = float( input(\"enter user-picked max district diameter, or 0 to accept \"+str(r5(maxD))+\" \") )\n",
    "if inputD > 0:\n",
    "    maxD = inputD\n",
    "neighborCountyList = [list() for c in range(nCounties)]\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"neighbors\")\n",
    "    for cc in uncutCountyList:\n",
    "        if cc > c and cc not in cutCountyList:  \n",
    "            if countyGeom[c].intersects(countyGeom[cc]) :\n",
    "                neighborCountyList[c].append(cc)\n",
    "                neighborCountyList[cc].append(c)\n",
    "print(\"I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\")\n",
    "hasFewNeighborCs, has1neighborCs = list(), list()\n",
    "plotPoly(MAP,0.15)\n",
    "for c in uncutCountyList:\n",
    "    if len(neighborCountyList[c]) == 2:\n",
    "        hasFewNeighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.2,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.5)\n",
    "    if len(neighborCountyList[c]) < 2:\n",
    "        has1neighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.1,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "plt.show()   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "f9b3df93-d821-44ca-b4f4-b65d13baaffb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "continuing from above, develop corner county blocks from each low-pop corner county until it hits 0.25 of 745646\n",
      "checking if county 55 with pop 15156.0 and 1 or 2 neighbors is less pop than 186411\n",
      "checking if county 64 with pop 225702.0 and 1 or 2 neighbors is less pop than 186411\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Below I plot these again by county no, with faded neighboring counties\n",
      "0   [55, 11, 80, 5]\n"
     ]
    },
    {
     "data": {
      "image/png": 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ATqwHhl/Xu9cgIqKQFF4NQqxh8clbZ6oxPEKHoVH68/Zdf8FMKH7yV0y8YTkgKfHuwd29G4zHDVQeBFLze/c6REQUksKtHwsTFi+dttmx1WzFbZmJ7e5P0aoxJykWeVF6uCfchdRvXsK6qtreC+jYGmDQrN4rn4iIQlpOUhSKqhvlDsNvmLB46f2yWkQqJFydFNu67fHHH4ckSW1eQ4YMwfzsgahTG7H+m1W9F9CxtUxYiIioQwadGuZml9xh+A37sHjB6RF472wtfpwciwhl2xxv2LBhWL9+fet7lUqFeI0KkRffi8Qdb/bO9Mjl3wLJwwEF800iIuobmLB4YUOtGXVuNxb2Szhvn0qlQkpKynnb0+PT4LbX4azdiXSdxr8BFa4Apjzi3zKJiCjsKCUJLrcHKmXo/4Ib+ncQACvO1iBXp8Hw6PNnsz1+/DjS0tKQnZ2N+fPno6SkBAAwIrqlY+5+i5/HwR/8BIjLbllXiIiIqBNDUw04XB6gqTZ6GROWLjQ4Xfii3oL57dSujB8/Hm+//TbWrFmD5cuX49SpU5g8eTIsFgtSNGoo1Tocqq/3XzCFHwCmUmD8nf4rk4iIwpZGpYDT45E7DL9gk1AXVpS1jPT5cXLseftmz57d+vf8/HyMHz8eWVlZ+Oijj3DrrbfCHj8YdeWHgEED2pxnra5A5aF9MJ05AmfNCTicDsQNuQxxaWmQVBooNTooNDoodTooNVqo1Dpojv6zpcvKpLt79X6JiCi8KCQJHo+AQuHn/pQBxoSlC3YhoJYkxGu6flQxMTEYNGgQTpw4AQDQpAzD0M2vY/3OT6F3flcl51QZoTBmI7JfLlLHXQ19lB6H132CsyUlkDxOSB7Hf19OSMIBpceJw64s3HDvfWBDEBER+WJwcjSOVlowNNUgdyg9woSlCyOjI2ATAieb7MiN1HV6bGNjI4qKinDTTTcBAKYNuwj3bT+Lk1I8HvzphbghI7HDEUOTb+68mSf9ZD0efW0nnvvVJCgUgIIjhIiIyAt6jRI2p1vuMHqM33pdyInQAgCKbfbz9j3wwAPYvHkziouLsXXrVlx77bVQKpWYN28eACArQo83F81H6oB0PPzJAdz91bFuzzo4IDsWP5vcH4v+uAXTHlmHu57djMrK8JkQiIiIeo8EwBPoBXr9jDUsXcjUaWBQKPCtxYbpCcY2+0pLSzFv3jzU1tYiMTERF198MbZv347ExO9mw41Vq/DZlaPwxslKPP6fQ7g2LxXT4rtXLTf+wnSMvzAdALBz11nc/MpWDDbqseyByd2/QSIiCntDUgwh3yzEhKULkiTBA6DZfX512ocffuh1ObcOSMJT2qP4z+kaTImLhqKHk8mNu6Af3upnwD8/P4E9e8qg1SgxbHhyj8okIqLwFA7NQmwS8sL0eAP+UV4Pdw8WkZIkCeMGxGLlxpP42RcH/RJXSmo0JuWn4NFPDuCpjw/gikc+hydMhq8REZF/hXqzEBMWL9yZmYRKlwsfVdT1qJzXLxuKvGGJ2Fdq8lNkwOjRqfj372fgvd9ejl9PzcVDy7b6rWwiIgofQ1IMOFIRupPIMWHxwihDBIbrdbjvyBlc+PVBbKw1d6ucCKUCRadNuHpkqp8jBJQqBS6/JAt2lwduF2tZiIioLb1GiWZX6DYLMWHx0kvDs/BUbj+Y3R78sai8W2V8Wl6PZrcHPx/o/4QFaBnq7PAIbP7qdK+UT0REoS2Um4WYsHgpL0qP+anxsHs8uDyhe72s/7ztFPqnRmFolN7P0X2nf6weq3eV4l+fHuu1axARUWgK5WYhnxKW5cuXIz8/HwaDAQaDARMnTsRnn33W5pht27ZhypQpiIyMhMFgwCWXXAKbzdZpua+++ir69+8PnU6H8ePH45tvvvH9TgJgfa0ZNiEwNyXO53PLmh04XNGI28Zm9UJk3ym480Ise2AyqhtsWPbX3WweIiKiVqHcLORTwpKeno5nnnkGu3fvxq5duzBlyhTMmTMHBw+2jHrZtm0bZs2ahRkzZuCbb77Bzp07cffdd3c6K+vf//533H///XjsscewZ88ejBw5EjNnzkRVVVXP7qwX3H6wGACQ/d/J5Hzx+uEyKDUKzE3zPdnpjttuGAljhAbrNp0KyPWIiCg0hGyzkOih2NhY8cYbbwghhBg/frxYsmSJT+dfeOGF4pe//GXre7fbLdLS0sTSpUu9LsNkMgkAwmQy+XRtXyV/sVckf7FXHLI0+XSe2+MRQ9/8Uvx8y+Euj83PzxdKpVIAEB9++GHr9ri4OKHT6YROpxMGg0GsWLGiy7JsVof47bKvfYqViIjCW5PdJQ6cbZA7DCGEb9/f3e7D4na78eGHH8JqtWLixImoqqrCjh07kJSUhEmTJiE5ORmXXnopvvrqqw7LcDgc2L17N6ZNm9a6TaFQYNq0adi2bVuH59ntdpjN5javQLpq9/E275efPIZZ27fB1cEcKF/WmWFucuKOEeldln3bbbdh27ZtUCqVbbbv2bMHNpsNNpsNixYtws9//vMuy9JFqOERgMPh6vJYIiLqG/QaJewh2F3A54Rl//79iIqKglarxaJFi7Bq1Srk5eXh5MmTAIDHH38ct99+O9asWYMxY8Zg6tSpOH78eLtl1dTUwO12Izm57QytycnJqKio6DCGpUuXwmg0tr4yMjJ8vY1uKb9sJAbqNBgS8d0iiE0uB5443YRCmx6jN6+D2Xn+mkOvfnMaCXE6XGiM7PIa99xzD8aNG3fe9qys7/q+1NbWeh3z2OxY7Nxd5vXxREQU/kKxWcjnhGXw4MEoLCzEjh07cNddd2HhwoU4dOhQ6wyrd955J2655RaMHj0af/rTnzB48GD89a9/9WvQBQUFMJlMra8zZ874tfyOSJKEk80OeL43q/5duz8HhAeTNMWoRjLeKNrb5px6pws7iuuxYGxmhys1eysnJwcqlQpvv/023nvvPa/OcbsBnYYrMBAR0XeGphpwuCKwrRM95XPCotFoMHDgQIwdOxZLly7FyJEj8eKLLyI1tWVukby8vDbHDx06FCUlJe2WlZCQAKVSicrKyjbbKysrkZKS0mEMWq22daTSuVegeAAk/TcB2FFzGp83JmKspgT/mHg1FB4rXjrbhCu3rsEHp3YCAFYUV0FA4KYBST2+dlFREVwuF2655RbcddddXp1T2WBDakpUj69NREThQ6cOvWahHs/D4vF4YLfb0b9/f6SlpeHo0aNt9h87dqxNc8b3aTQajB07Fhs2bGhT3oYNGzBx4sSehtYrhum1MLnc8Hg8uGNfIVSiCW9fMA1KhQLPDFAjClbstsXhvmI1Bn7+MZ7eUYwxWbFI1Kj9FsPrr7+O6urqDpvavq+m0Y7ExK6booiIqO8RPVgjL9B8aisoKCjA7NmzkZmZCYvFghUrVmDTpk1Yu3YtJEnCgw8+iMceewwjR47EqFGj8M477+DIkSNYuXJlaxlTp07Ftddei7vvvhsAcP/992PhwoW44IILcOGFF2LZsmWwWq245ZZb/HunfpKq02B9vQVX7NyLSikLv+5nQaKupQZjQfaFWJANmJ12zNn2GY55UqAwObBgSs/mXjl9+jRqa2sxZswYAC3/DgqFAjk5OV2e6/YIqDXKLo8jIqK+ZVByNI5VNmJwSrTcoXjFp4SlqqoKCxYsQHl5OYxGI/Lz87F27VpMnz4dALB48WI0NzfjvvvuQ11dHUaOHIl169a1+WItKipCTU1N6/uf/exnqK6uxqOPPoqKigqMGjUKa9asOa8jbrB4M38AfrTrOAqtNmiadmKE7vwOvwa1FhsvuQaH6k7gnm+2482VHyD9J7fiwtQLuyx/6NChOHbsGDweD+bNm4cbb7wRmzZtwsyZM+FyuSBJEvR6PVasWNHp/DZERESdidKqYA2hUaSSCKX6oA6YzWYYjUaYTKaA9Gd55mQZlp2uQl79HzEuIQPPXvJMh8d+sOdj/GN1HeyuaLzy4IUYYBzQ6/F93+9e3IqnfzUpoNckIqLQsKekHmMyY2W7vi/f3/wVvRt+MyAVxyaPwGWpQ7Hu9Dq4PB1nqPPG/BgP3TkcasmJUktpAKNE68gtIiKi9qTH6nGmrknuMLzChKUbJEmCQaXEzP7T4fQ4cNJ0stPjs43ZsLoj8MfXSvDnr94OTJAAGuqbERPhv86+REQUXpKidahuPH/+sGDEhKUH8hPzoZLU+OexVZ0elxSRhBt/2gRr8mqsX+dBhbXjSfH8qaKiEYkGXdcHEhERBTkmLD2gV+lx/ZCf4ePjH3faLAQAC0fdiFV3vA5Awr+O/Ccg8UVFaWBtDp0OVUREFHixERrUWR1yh9ElJiw9lBubi2Z3EywOS5fHGjQGDBxahy/W2Lw6vqeSk6NQZQmNqj4iIpJH//gIFNda5Q6jS0xYeihGGwMAXneofeDqm+B0ROGj/Z03I/mDVqeCy82Ot0RE1LGeLhsTKExYemhcSstChSWW9pcf+KGkiCQMyGnAujWNqG+u783QiIiIvKJVKdDsdMsdRqeYsPTQuUQlOcL7ie4KfnIjhFDisb/9DVZn8FfDERFReBuSYsCRit7vqtATTFh6qLCqEEpJhRGJI7w+J0GfgFvnD0BFTTNue+YjbDn5dS9GSERE1DmlQoInyOeRZcLSQ1vObMXQ2BHQKrU+nTdjwAw8f/c8GHNO4Pm3irHko5cD0hGXiIioPQpJgtsTvEkLE5YeqmuuR3JkYrfOzYjOwJ/nPYl516tx7Kgai57/G76tLPRvgERERF4YkhKNIxVmucPoEBOWHvj05Kc4Ur8fF6dP7HYZCkmB64f9FC/eNwcqlRuvffqp3+JzuTxQKkKj9zcREclLp1bC7grekaVMWLppW9k2/ObL32BS6sX4ce6Pe1xealQqZkxPwZmiAdhbsccPEQLVVVbER2n8UhYREZGcmLD4yGQ34cvSL/H09mcx0DgYy6e/CoXU8WPcsmULrrrqKqSlpUGSJHzyySdt9n/88ceYMWMG4uPjcePon6Kx6gR+++Fy3PvOM6i0VvYo1vIKCyR0XcPiqq+Hx2pF0+7dqHz2OVQ9/3yPrktERKEpMUqLKkuz3GG0iwmLj+7ZsBi/2PALnGksxmOTlnSarACA1WrFyJEj8eqrr3a4/+KLL8azzz4LAFj44wxEmMbg1PEsvLjmvR7F2i81GtvOtD/Xi/3kSQghYP70U9S8/Apq/vIanGfPIv7Wn0M4HBBB3luciIj8LyMuAqX1NrnDaJdK7gBCyf7q/dhbvQu/GvMrTMmcgmxjdpfnzJ49G7Nnz+5w/0033QQAKC4uBgCMShmFWQ+k4N8H1+I//07A4csOY2j80G7Fm5gciQR929WaXfX1cJaVoeall6FMiIcqMREpjz7S5hhlbCxc5eVQp6V167pERBS63B4Bp9sDtTK46jSYsPggUh0JpaRClbXGq2Slu1IiU3DzBfPx5aa/4KV/fYw/3/Lbbk2drFAoEKVWwVpZDfMrL0GVnAJ3XR3U/dLQ78VlUOjaX8k59vrrUf3Kq0hZ8rue3goREYWYMZmxKDxTj7FZcXKH0gYTFh9kx2TjgQt+jWd3PotxqWMxPWt6r11LpVBhwdzhePntUmw5swWXZl7qcxlv/c9/YKyzwrriG8TeeCMAQDd4cJfnKWNiAI4uIiLqk5QKKSjXF2LC4qP5Q+djZ8Ue/PbLJRgUOwhZhqxeu9aU7EuxMvkVvL7qJFzXurD37H6s3P8vXBAzCe7qFNTXa2B3RCBr8Fksm/9wm3PdbjcKaxx48Zmfduva+uHD0bDqE8Rce40f7oSIiEKJBEAIEVSJS3A1UIUASZLw9MW/R5wuHnev/xWanb3XOUmSJNzzsylorO2PV98swba1EehXMReVxxKgi3Bj0iVK6IdtQvGRfvj73k/g9ny3cJWpyowYZffH0xuvvhqOU6fgKPVuFWoiIgofucnRQbe2EGtYuiFKE4WXpy7DDf+aiz+8MQq/X3QE6KUsNC9xGJ5ZrIQECYNiB52X7V5rmYmnze/hw09SsGbTi1hyyxysO/wltq9yIUNt7NG142+7FWW/eRhxCxcicsL4HpVFREShI0qrQpMjuFZvZg1LNw2KHYQl9RasitBg1fr7OzyusbERhYWFKCwsBACcOnUKhYWFKClpWeW5rq4OhYWFOHToEADg6NGjKCwsREVFRWsZQ+KGYHDc4Har5jKiM/CX2wvw5D3j4HHq8eCftuCD1XEYVPsJ7vvt1B7do9JgQPqfX0Xjxi96VA4REYUetVKC0x08M98yYemOmuNofvtazGmy48eWRjxdug5Hj/273UN37dqF0aNHY/To0QCA+++/H6NHj8ajjz4KAFi9ejVGjx6NK6+8EgBw/fXXY/To0fjLX/7iU0jDE4bj+Xt+gstn23Gh7Qs4pqUgLtI/PbzdJjM8drtfyiIiotAwJMWAI+XB0ywkiTCYIcxsNsNoNMJkMsFgMPTuxVwOOP58MTR1RwEAjSN+ipvN36BZePDhTz5HVHRq716/C/88+Hecfer3uPa1NcgwZPilzOZjx2BZswaJ997rl/KIiCg07C2px+jM2F4r35fvb9aw+KrqYEuy8qNlwC+/QdTVL+P5Ka+gRhJ49F8/g/DIV30mhMD+f7yGpktG+y1ZAQDdoEEQbg9cdXV+K5OIiIIfRwmFssqDLX8eWwskDgbUOmRlTcaTA6/HOnc9VnTSn6W3bTu7FQmHKzD1Gv/XhGhzc+HkiCEioj4nWBpimLD4asiPAAAubdsRONMnL8EcdTLePbMO8MjTs3rD6pfRMLQfLkgZ1+7+e++9F/3794ckSa2dgGtrazFq1KjW16BBg6BSqVD3g9oU4XQCSmXL34WQtSaJiIgCI9mgRaU5OPowMmHxwuOPPw5Japn5T4qIhfSEGcPvfAOoOQ4AuOyyy1rmZ5m/AZ/fdgiSUoVFixYFNMaihiIYvtyHkdf/osMqvOuuuw5fffUVsrK+m+wuPj6+dRRTYWEh7rjjDsyePRtxcW077EaMHYP6d/+G6pdfQfkjj6Diid/DvG5dr94TERHJK8WgQ7kpOBZD5DwsXho2bBjW//NtOD9cALXlDBCVhJa5AFvcfvvt+MU9P8P1X/wSf8j+KaZd+kBA4/u/NS8hy6TGrNwfdXjMJZdc0mU5b775JpYuXXredk1mJlKfWQp3fT2UsbGQJAkVv/89IidMgDI6ukexExFRcGIflhCkUqkQ8/UTSIlSIOXedUh55CiQMLB1f0REBEYOuxzJ0UqUu4t6f7TS99Q318O1diMafncr1Ep11yd0YOvWraivr8ePftR+0iNJElRxca0fYOM118D0f//X7esREVHwC5akhQmLl44fP44B963B4P85i/kFL6PkbFmb/e+//z4Sk5Kw/9GTeOvNLWhqagpYbP/6+k24JeDasQt6VM6bb76JBQsWQKXyruJNn58P+9FjEC5Xj65LRETBi51uQ8j48ePx9ttvY/WdA/HKHZNx6tQpTJ48GRZLy4Q6N9xwA9577z1s3LgRs64dggNfV+DG/66O3NtMdhOa3n4f4oY5iNHFdLucxsZGfPTRR/j5z3/u03nGOVej7p13u31dIiIKbgpJgscjf9LCPixemD17NgBAxB2FZ9ufMenj7cgaPAIfffQRbr31Vtxxxx2tx15/9RRsi2jAqudWoaioCDk5Ob0a24oVv0NJkoQHLvpVj8r5+9//jpEjR2LIkCE+nRcxZgzM//5P0K3qSURE/pEYrUV1ox3JBp2scbCGxQfSqHlQuqyIMR/GoEGDcOLEifOOGZR6ISJyIgCg3f3+dKDiW+DTLzDilvuQoE/o8vg777wT6enpKC0txcyZMzFw4Hd9cN58803ceuut3YojYtwFsG7d2q1ziYgouCUbdKg0N8sdBmtYfOJ2AgAaHUBRURFuuumm8w7JzroUjg9ahoClpvbeNP1ujxtrXvw1yib3x3N587w657XXXutw39YeJBxRl16K6pdfQdRFF3W7DCIiCk5KhYQgaBFiwuKNBx54AFdNHoX0klU4W67Fk796BkqlEvPmzUNRURFWrFiBK664AvHx8di3bx/KXi9F/7x45Ofn91pMn+z+GxQlZVhw3wqoFPL+MyoiIiDsdrjNZigDODqKiIj6DiYsXig9eRTzXnsBtTaBxLgYXDwlGdu3v4HExEQ0Nzdj/fr1WLZsGaxWKzIyMjDsggTkzEnrtXjqmutQsvxFNM+7AqOSRvXadXwRf+edqHrhBaQ+/rjcoRARURhiwtIVIfDu1QooL0iDcsG/gPSxbXZnZGRg8+bNbba98c+f4k3L4V7riPrWqsdgjZBw97Tf+r3s7lInJyHignEwr/0chpkz5A6HiIjCDDvddmX/P6Ap3gTl3DfOS1Y6MihhGBoloLzhZJvtK79eiec/er5H4eyp2A3dqg3Iu+tBxOniuj4hgNRpaWg+cEDuMIiIKAwxYemCu/YUAMDz33WDvDEofRIA4FjJdzUv76x/BwfWHYDlkAUP/fEhPPLUIyipLvEpFiEEPvzwEZiHZ+LHeT/z6dzeJhwONKxcicRf+X+laCIiIiYsXVBe/hu4x/8S2PB7oLbIq3OS0yfC4HbjWMVuOF1OrNyyEke2H2nZ2Q+IsEZA6VJixbsrfIplb9Ve9NtRjEsWFEAhBdk/nSRBUqkgeTlLLhERhY5gmGUryL71gpNy2iMQCjXE/pVeHS9pozBIKHGs4QTeXvc2DnxxAFqXFpocDR6//XH89nctfU+aLc04Xu99zc1/Nr0OZ3IcJmZN7tZ99CZJrYYiIgKu+nq5QyEiIj+TJMg+2y0TFm+o9VC4bXAc/8LrUxIUiXCfyMPZHWfhUDgw+4bZeHj+wwAAjVoDd6IbALB/4w346sxXXZZX1VQF3adfIn3+zcFXuwKg/qOPoE5LhSo2Vu5QiIjIz4RoSVrkFHzffMHI7YKQlNDmXu71KQkNA2F0GmFX25E9LhvjB42HQvHd415882IAgFIlsPXz+3Cw5iDcHjeO1B3BodpDeGnt/fi/Y6tgdpgBAJ/sfR9KSYErRwZX35Vz7EeOIG5BzxZfJCKi4CX38ivscOCNsj1QeJyAQunV4UII6CwGZMaYMW/xC+0eEx8Zj9mzZuLosV1Q4Qx2fHo9XrcpMSWxGTa7EolCgqX2czy46Un0j0xBZHUj4oxzsfV3q9HSmniuak6CUglo9GpoI1XQRmmhNeihM0ZAFxeNiJQ4RCTHQh2h9cuj6Oh+JbW618onIiJiwuKNlHy4YwZA+cVTQP7PgJjMTg8/sfkfqPdE4ar8AZ0e53Y7IYQCN1y/Fiu//StSi7dhf9JY5CQMwYUp47D8yycxWezCMWcjYodNRlzccbilClxx0/I25biszbDVmmCrMaG5zgq7yYrGSjNqjlfCbrGj2eqA291+DAqVElq9CtooDXQGHXRGPfSxUVBERiA2Kw76xBgoukhGJEkKmuXHiYjI/4LhJzwTFm+odWi+8F589vnnuKTsNJJ+kLBYa8tRXVoE4WqGcDnw7y27kaBwYsBl56819H1ujxMQElIiU3D3pN8Ck9ru/5+r3sYZyxlcH5naOv3+v97+ETweT5vmJVWkDtGROkRnJnd6vf79+0Or1UKv1wMACgoKMPdHV8NWXQ9btQnvfPABHvrTk3jhziUYmDAB0Uor7DY3IDznlaVRuKFVOqHVKaBTexCj55T8RETUe5iweOmzMgMOYAhKPvoE9zw4AiptBE588Tfs3n8Exyw6ePD95iI9hhvckBSddxHyuBzoqhtRRnRGm/cSVG2SFV/9/e9/x6hRo9psi47UoxYOrNq+HhMmTMCAWWNx1TVXdliGEAIOmwtNFgdstY2wVptxqMiOFKcHSjW7RRERkf/59O2yfPly5Ofnw2AwwGAwYOLEifjss89a91922WWQJKnNa9GiRZ2WefPNN593zqxZs7p3N73k7NmzOHDgAMYPz0ETdHjvxcfx+tIH8f7WMzhiiUSCyoa7rpmEe346Bb+68Uosvnkurvnlk12W6xYuCB/7PfdGtZzH48Ftt92Gl19+GVpt131dJEmCNkKN2ORIpOUlI/fSXFhNTnz7xZleiI6IiMjHGpb09HQ888wzyM3NhRAC77zzDubMmYO9e/di2LBhAIDbb78dv//971vPiYiI6LLcWbNm4a233mp9782XZiAVFxcDACbPuhaDkz7Fh198i3S9HQumTkZm3jioIrrXHOJxOQDhW69rqYcpy4IFCyCEwIUXXohnnnkGiYmJeOGFF3DRRRdh7Fjvlh5oj9vpQaRR06PYiIiIOuJTwnLVVVe1ef/0009j+fLl2L59e2vCEhERgZSUFJ+C0Gq1Pp8TSPn5+di85Uv8c9UnWHjTjSiY/BO/DO9yOpshwbuRR+dIkha15WcQn5rR9cE/sGXLFmRmZsLpdGLJkiVYuHAhnnvuOfzzn//Eli1bfC7vHLfTg+QBBgyekNrtMoiIiDrT7Q4HbrcbH374IaxWKyZOnNi6/f3330dCQgKGDx+OgoICNDU1dVnWpk2bkJSUhMGDB+Ouu+5CbW1tp8fb7XaYzeY2r94UHR2NGdOn4VTRCTQ0NPhtLLrLaYOAb8OB+2XOwZ7Nf+nW9TIzWzoLq9VqLF68GF9++SW+/PJLFBcXIzc3F/3798f27dtxxx13YPny5V2U9p3juyuRPTqxWzEREVFwszQ7EaX17Zfr3uBzwrJ//35ERUVBq9Vi0aJFWLVqFfLy8gAAN9xwA9577z1s3LgRBQUF+Nvf/oYbb7yx0/JmzZqFd999Fxs2bMCzzz6LzZs3Y/bs2XB3NA4XwNKlS2E0GltfGRm+1zb4asiQIQBa+rP4i9PZBMnHhGXk5J+iqXmfz9eyWq1oaGhoff/BBx9g9OjRuOuuu1BeXo7i4mIUFxdjwoQJ+N///V/cddddXpetVCrgdpw/koiIiELf6domZMZFyh2G76OEBg8ejMLCQphMJqxcuRILFy7E5s2bkZeXhzvuuKP1uBEjRiA1NRVTp05FUVERcnJy2i3v+uuvb3NOfn4+cnJysGnTJkydOrXdcwoKCnD//fe3vjebzb2etERGRkKl1qCmpsZvZbrdNkjwrd+HUqWGQtKitqwM8WlpXp9XWVmJuXPnwu12QwiB7OxsvPvuu76G3K7sUYnY9MFRxKZGIio2uPofERFRz7g8AhqV/CNAfU5YNBoNBg4cCAAYO3Ysdu7ciRdffBGvvfbaeceOHz8eAHDixIkOE5Yfys7ORkJCAk6cONFhwqLVagPeMdfhcMDldCAy0n9Zpttlg6TwvaNqev8fYffG1zBj/hNen5OdnY29e/d2edymTZt8jkepViC5vwFOuwsAExYiIvK/HqdMHo8Hdru93X2FhYUAgNRU7ztjlpaWora21qdzAkGlasntvt+s0lNujx0Kyfcv+PyLb4DNucdvcfiDpdaG6Did3GEQEVGY8ilhKSgowJYtW1BcXIz9+/ejoKAAmzZtwvz581FUVIQnn3wSu3fvRnFxMVavXo0FCxbgkksuQX5+fmsZQ4YMwapVqwAAjY2NePDBB7F9+3YUFxdjw4YNmDNnDgYOHIiZM2f69057SKlUIjYuAV999RW+/vpr2O12uN1uPPLIIxgwYAD0ej1ycnLw5JNPtpmmXgiBRx99FKmpqdDr9Zg2bRqOHz8OAPB47FB0o4ZFqdRAoVCjoarab/fXU0IAbhf7sRARUe/wqUmoqqoKCxYsQHl5OYxGI/Lz87F27VpMnz4dZ86cwfr167Fs2TJYrVZkZGRg7ty5WLJkSZsyjh49CpPJBKAlCdi3bx/eeecdNDQ0IC0tDTNmzMCTTz4ZdHOxAMD1P/sJ/v3pGmz44gvs+GYXaqor8b//+7945513MGzYMOzatQu33HILjEYj7r33XgDAc889h5deegnvvPMOBgwYgEceeQQzZ87EoUOHIIQdSkVMt2JJTp6OvVvexOXXPezHO+y+IRNScXhrOUZN63ydJSIiou6QRBisWmc2m2E0GmEymWAw9P6aNrW1tXj/gw/x51dewQUXjMV7773Xum/u3LnQ6/V47733IIRAWloafv3rX+OBBx4AAJhMJiQnJ+Ptt99Gc9MXiI7KxdyfPuhzDHabFWv/fgOuvvlffruvnjiyrRxRcTqkD46VOxQiIvKjvSX1GJ3ZOz/bffn+lr/bbwiKj4/HbT+/Bdk5Ofj008+wb1/LMONvv/0WX331FWbPng0AOHXqFCoqKjBt2rTWc41GI8aPH49t27ZBCAdUqu71+9DqIyEAuFzt9x8KJCEEyk40oN+gGLlDISIiP/PX3GM9xYSlmyIiIvDIkt8hL28oRo0aBbVajdGjR2Px4sWYP38+AKCiogIAkJzcdhXl5OTkln2SEypV90cdRehG4MDWj7t/E37SbHUiOk4XNB9qIiIKP1ytuZvq6urw/Asv4PDhw3jvvfcwYsQIFBYWYvHixUhLS8PChQu9KMUFtabrtZY6kj/pFmxb9zsYY6ZDq1dBG3HupYZKowhYAqGLVKPZ6gzItYiIKLCC5VdRJiw+stvteP3Nv6KmqhLrPv8cDzzwAG644QYALRPfnT59GkuXLsXChQtb10eqrKxsM0y7srISo0aNgiSVQqPpfg1LcmYO9IZmAFbYGvVoqGqCvckFe5MTLnvHI3aU6pbVljXfT3L06ta/ayJUUCq9r3xzOT1QaeSftpmIiPwvWDq6MmHxkdVqRU1VJaKjo+F2e2A0GtvsVyqV8HhakoUBAwYgJSUFGzZswKhRowC0dDDasWMH7rrrLtiaP4BGG92jeAYPvxPlZ17FxBnPeX2Oy+mGvckFh8313wTHBVNNE+xWF+w2FxxNLnjcHXxEJUAXqUKEUYsIgwaRRi3UOiWEJ1g+0kREFI6YsPgoLi4OaemZsFobMXfuj/Hcc88hJycHw4YNw969e/HCCy/g5z//OYCWjkqLFy/GU089hdzc3NZhzWlpabjqqquw8p/v4fCRE5h00WUAWialGzp0KGpra6FUKhEREYGPPvoIU6dORW5uLk6fPg2lUgm1Wo2XX34ZCxcuRP+hs3Hi6P/C0WyBRudd8qNSK6EyKhFp9H3ouPAI2JtcsJrsaDI5UFfWCKvJAWOi3ueyiIgo+AVLkxA73XbDtCmXwVRfhyVLluC6667DL37xCwwdOhQPPPAA7rzzTjz55JOtxz700EO45557cMcdd2DcuHFobGzEmjVroFS2NKEMHJjbpuxFixahubkZNpsNU6ZMwdy5cwEAP/3pT2E2m2Gz2bB48WLceuutrefkDLoNu798KgB3DkgKCbooNeL7RSEjLw6DJ6RizMwsDJvcLyDXJyKiwAqW+nPOw9INx48fx/vvv4/FixcjJiamW2U0Njbinx9fjwnjn8fgwYPbPebdd9/Fz3/+c7hcrjbbjx49iiFDhsBms0GnaxkWvf6Ta3HJrHe9rmUhIiLqSqPdhfIGG3KTe+e7hfOw9DKr1QoAiIqK6nYZDocDEgTUanWHxzz++OMYPnz4edtvu+02pKSktCYrQGBrWYiIqG8orrGif4L/Fv3tCSYs3WAymaDR6loXROwOp9MJldrRYcIyY8YMVFdXY/369W2233XXXdixYwfWrVvXZvuAvCthbTwKh93a7ZiIiIi+z+URUPswarQ3BUcUIaaiqhrG2LgelWG32xEZ0QCN5vzFD3/0ox/h66+/xoEDB5CQkNC6/Ve/+hXefPNNbN68ud2al5xBt2LnxiXnbSciIuqOYOo1woSlGyqqqpGanNSjMkpLTqC+PhVxcW0Tnzlz5uCLL77AgQMHkJWV1br9vvvuw/Lly7Fx40ZMnDix3TIHDLsKSqUWX312b+vQaiIiou4KphnMmbB0Q2REBOpN5h6VUXJ6E+DJaNMktHPnTqxevRpOpxN5eXnQ6/Wt/WSWLVsGj8eDadOmQa/XQ6/X4/jx4+eVO2H6M4g2DsT2db4vqEhERBSsmLB0w/Chg3Gm+CT+uWoVbDZbt8qwOw8jIXFCm23jxo2DEAJOpxM2mw02mw2NjY0AWqrlXC5X63abzYbc3Nz2isbISffC6TSh5NiGbsVGRETkcHmgUgRPDQsnjuuGCy+8EACwZs0apCYnY9KkST6dbzKZICmtyBl4QW+EBwBwuUxI7T+h6wOJiIjacaa+CRlx3V/vzt9Yw9INCoUCeXl5AHDe1PzeKD5VBAgJGRkZ/g6tDXUP1ikiIqK+zdLsglHf8dQbgcaEpZvq6+sBoM0oHm+dPL4BLkdKj+Zx6Yqk0KDZZuq18omIiAKJCUs31dbWAsB5o3y8YWkqhMEwxt8htZGYdBFO7l/Zq9cgIiIKFCYs3VRdXQ19VHSnM9W2x263A4p69M8e30uRtUjJvBj1tft69RpERESBwoSlG4QQ2H/wEAZmZ/t8bsnpYgBoM8dKb9DqY2B3VPfqNYiIiAKFCUs3HD9+HI1mE8aMHuX7uUc3wtEc162+L74wxGYi2jAEX69Z3KvXISIiCgQmLN2wt/BbxMQnon///j6fW1//DfS64QGZPXDc5Y8iypCNrz67t9evRURE4SPY5mABmLB0S8npYjTUVvucdLjdbnikSmRk+TZvS0+MnHQvHI6qgF2PiIhCX63VjsRordxhtMGEpRus1u6tiFxRUQFAdKtmhoiIKFCqLXYkRAVXwsKZbrtBqVRhypTLfT7v2OEtsDdHIzU1tReiIiIi8g+PAJRsEgoPDofD53MqK76CQpHr81BoIiKivo4Ji4+sVivcbhdiYmJ8Ok8IAYe7DGlpY3snMCIiojDGhMVHpaWlAOBzPxSz2QxIDmT1H9ILUXVOQAT8mkREFJrsLnfQjRACmLD4TIiWL39fm3V6svYQERFRoBRVWTEwqffWuusuJiw+UiqVAFrWEmpubobH4/HqPJOpZSHC7qzuTEREFCg2pws6tVLuMM7DUUI+OrfC8ltvvdW6TaXWQKXWQK1peem0Wuj1OkTqddDrdNBqtSg7WwQhNNBoNAGN19uEioiI+gZLsxM1jQ4MSIg8b19Nox1GfXAODGHC4qPU1FT84he/gMVigc1mg91ub/OyNdvRZLOhyWZHg8kMh90Bl9MBj9uC/hlu/Psf17VbrqSIhKQ0QquNRWREIoyGZBgMyYgwpCLSkAaN9vwPljcaTaVQq1irQ0TU152pa0KluRnROjUitUocqTBjSIqhdb/J5kRxjRUX9I+TMcqOMWHphqSkJCQlJfmtPI/bBZu1Bo2mcphM5WgwVaCsqginz+yEx2WC8JghhLODsxX/TXYM0GrjERmZgBhjCgzGNERGp6Ch5ji0uhS/xUpERKGlzurA8UoLsuIj2yQj5SYbdhXXQaVUwO0RUCuloE1WAEAS53qRhjCz2Qyj0QiTyQSDwdD1CWHE7XbAZqlBo+ksGkwVMJkr0NhYCYe9vjXZMWTehujUce0uJSCEQLROhYQoLYx6dUDWOCIiot7n9gjsLamHQa/GoORoucNply/f36xhCXFKpQZRMWmIiklDd+pRhBCwOtyosdhxurapywHQkRolshOjgm4GRCIi+k65yYbTtU0YmxULtTI8xtcwYenjJElClFaFKG3XHwWPR+CTwrP/7ajFhIWIKJgIIXCyxoqGJgfiIrWYkB0vd0h+xYSFvHakwoLZw1OhCpNsnYgoXJTUNqHcZMPglGjkJAbfHCr+wG8e8lp2YiQKzzTIHQYREf1Xk8OF7SdroVJKGJ8dj5iIwE6dEUisYSGv6dRKxEaq0eRwIULDjw4RkZwOl5thd3kwfkBcnxgwwRoW8klOYhROVlvb3edwcZI6IqLeZrW7sLWoBqlGHUZlxPSJZAVgwkI+cLg8+OZUHbLiI87bV291YNPRKpyqaT+ZISKinjtZ3YijlRZMykkI6+af9jBhIa8dKjdjQnY8onVtp202NTlxsqYRM4aloNpilyk6IqLw5XJ7sP1kLXRqJcZkxsodjiyYsJDXhBDnzb9isjlxrMqCsVktsyMOSo7C0QqLHOEREYUlU5MT35yqw7j+cUiL0csdjmyYsFC3WZqdOFphwbjvTeUcE6GByeZEGEygTEQkuwpTM4prrZg0MKHPT9jJhIW89v2OXVa7CwfLzLhwwPnrTgzvZ8DBMnMgQyMiCjtV5mbUNNoxMiNG7lCCAhMW8prT3TIKqMnhwrelDR3OohihUcHucrOWhYiom8zNTpxtsGF4P6PcoQQNJizktUHJ0fj2TAP2ljRgYhdTPg9LM2L/WVOAIiMiCh9CCBwoNWF0H+1c2xEmLOQ1o14NpULCpJz4Lsf969RKOFwe1rIQEfnowFkzRmXGyB1G0GHCQj4Z3s/o9SRFw/sZceAs+7IQEXmr3GSDVq3gbOLt8ClhWb58OfLz82EwGGAwGDBx4kR89tlnrfsvu+wySJLU5rVo0aJOyxRC4NFHH0Vqair0ej2mTZuG48ePd+9uKKjo1Er2ZSEi8lKTw4WyBhsGJUfLHUpQ8ilhSU9PxzPPPIPdu3dj165dmDJlCubMmYODBw+2HnP77bejvLy89fXcc891WuZzzz2Hl156CX/5y1+wY8cOREZGYubMmWhubu7eHVFQYS0LEZF3Cksa+uykcN7wqc7pqquuavP+6aefxvLly7F9+3YMGzYMABAREYGUlBSvyhNCYNmyZViyZAnmzJkDAHj33XeRnJyMTz75BNdff70v4VEQ+n4tS19Z74KIyFtNDheqLXacqbNhdGbfWReoO7rdh8XtduPDDz+E1WrFxIkTW7e///77SEhIwPDhw1FQUICmpqYOyzh16hQqKiowbdq01m1GoxHjx4/Htm3bOjzPbrfDbDa3eVHwYi0LEdH5yk02HKmwIFqnxsW5CYjUst9KZ3x+Ovv378fEiRPR3NyMqKgorFq1Cnl5eQCAG264AVlZWUhLS8O+ffvwm9/8BkePHsXHH3/cblkVFRUAgOTk5Dbbk5OTW/e1Z+nSpXjiiSd8DZ1kwloWIqK2bA43SuttbWYKp875nLAMHjwYhYWFMJlMWLlyJRYuXIjNmzcjLy8Pd9xxR+txI0aMQGpqKqZOnYqioiLk5OT4LeiCggLcf//9re/NZjMyMjL8Vj7537lalhHpnASJiPo2IQR2n67HRQM7n8+K2vK5SUij0WDgwIEYO3Ysli5dipEjR+LFF19s99jx48cDAE6cONHu/nN9XSorK9tsr6ys7LQfjFarbR2pdO5Fwe1cLYvHwxFDRNS37SlpwJgs9lfxVY/nYfF4PLDb7e3uKywsBACkpqa2u3/AgAFISUnBhg0bWreZzWbs2LGjTb8YCg8j0o3Yx9lviagPO1ndiBSjjvOsdINPT6ygoACzZ89GZmYmLBYLVqxYgU2bNmHt2rUoKirCihUrcMUVVyA+Ph779u3Dfffdh0suuQT5+fmtZQwZMgRLly7FtddeC0mSsHjxYjz11FPIzc3FgAED8MgjjyAtLQ3XXHONv++VZKZVKeH2eOD2iD6/6igR9T31VgeaHG5kJ0bJHUpI8ilhqaqqwoIFC1BeXg6j0Yj8/HysXbsW06dPx5kzZ7B+/XosW7YMVqsVGRkZmDt3LpYsWdKmjKNHj8Jk+u637IceeghWqxV33HEHGhoacPHFF2PNmjXQ6XT+uUMKKvnpMfi2lHMNEFHf4vYIHC43Y9LABLlDCVmSCINpSM1mM4xGI0wmE/uzhIDdp+sxMt0IlZIrQxBR37C1qAYX9o/jz70f8OX7m0+OAi49Vo+aRofcYRARBcTBMhOGpBiYrPQQnx4FnMnmhFGvljsMIqJeV9Zgg06tRFykRu5QQh4TFgo4m8MNnZofPSIKbw6XB2cbbMhhJ1u/4LcGyYLzDxBRuNt9uh5jOcDAb5iwEBER+dnxSgtykiKh4BQOfsOEhYiIyI/MzU40Oz1Iiub0HP7EhIWIiMiPDpw1cd20XsCEhYiIyE/2lTZgRD8mK72BCQsREZEfVFmaoVcrEa3jtA29gQkLBVzIT61MRPQDbo9AUZUVucnRcocStpiwEBER9dCOU7UY159DmHsTExYKOA7yI6JwcqjMjEHJ0Zx6v5fx6RIREXVThakZaqWEhCit3KGEPSYsFFBCCFjtLtgcbjjdHoTBYuFE1EcJIVBcy34rgaKSOwDqe1KMOpTUNcHp9sDlCXzCcq5JSvzgvVatgFalhFalaHmpW/6uUkhcSoCIzrOnpAGjM2PkDqPPYMJCASVJErKDcCEwj0fA4fbA7vLA7nKjyeFGfZMTdpcbLrdvSdX3j5Y62e5NqUIIJBl06Bej9ykGIupdVZZmGPUqaFVKuUPpM5iwEAFQKCToFEro1EoAwTWHwrdnGmDQqTi3A1GQEELgRFUjJuUkyB1Kn8I+LERBbmRGDPaXmuQOg4j+a/9ZE0amx8gdRp/DhIUoBAxPN2JfaYPcYRD1eZZmJxSShEgtGygCjQkLUQgw6NTQq5WoMjfLHQpRn3aozIzhXCtIFkxYiEJEbnI0TlQ3wiPDyCoiAs7UNSEjLkLuMPosJixEIWRc/zjsOl0vdxhEfVKFuRlpHLEnGyYsRCFErVQgLUaH4hqr3KEQ9SmHyswYksIJ4uTEhIUoxKTHRqCm0Y5mp1vuUIj6BLdHoMnh4tQCMmPCQhSCxmbFYk8Jm4aIAqHwTD1GZcTIHUafx4SFKARJkoQhKQYcLjfLHQpRWGu0u6BVKbkScxDgvwBRiIqL1EAIoN7qkDsUorB1qMyMYWkGucMgMGEhCml5aS21LFz1msj/TDYnDHoVFz8NEkxYiELcmKxY7D3TIHcYRGHnWKUFQ1JYuxIsmLAQhTidWom4CA3ONtjkDoUobFianYjUcPr9YMKEhSgM9E+IRGldE5xuj9yhEIWFIxUWDE3lvCvBhAkLUZi4oH8cdnMWXKIes9pd0KuV7LsSZJiwEIUJpUJCdkIkTlRZ5A6FKKQdKufIoGDEhIUojCQZdGhyuGFpdsodClFIana6oVUpWLsShNijiCjM5KfHYGtRDSblJMgdCpHf2F1unKmzodHuarP93JB+tVKBwSnRUPdwgreDZSaMzojtURnUO5iwEIWh4f2M2F9qwoh0o9yhEPnM4xE4WdMIS/N3yYlGpUBGXAQG6qLaPcfh8mD7yVqM6x8HnVrZ7esCEhQK1q4EIyYsRGHIoFNDp1agytyMJINO7nCIOuVye3CsshHNLjcktCw9kZ0YiYFJ3i82qFEpcPHABOwrNcHl8WBgYjSMEb4tVnio3Izh/dh3JVgxYSEKU7nJ0dhWVIuEKC1/Y6Sgc7bBhipzMwQAlUJCblI09Jru1YycI0kSRv53kcLjlRYcr7IgIy4CyV4m7U63B1pVz2Kg3sOEhSiMXdA/FrtL6jGuf5zcoRABAI5WWGBpdiI9NgKjM3uvr0hucsscKt+eafAqYRFCgAtcBDcmLERhTK1UINWow+laK7LiI+UOh/ooIQQOnDXD7nJjUEo0BusCNyGbt0nI8apG5Ca13z+GggMTFqIwlx4bgd2n65Bs0HW7MyJRdx2pMKOx2YVhacYeN/l0h9sjIITocpiypdmFQcm+9XmhwOI8LER9wJjMWOwp4Sy4FBhOtwcHzpqws7gO8ZFaXNA/TpZkBQByk6NwtJKTKYYD1rAQ9QGSJGFwcjSOVJi5+iz1qlM1VtQ22jEi3RgUHVgNOjWO2xs7PabO6kBcpCZAEVF3sYaFqI+Ij9LC7RFoaHLIHQqFIY9HYMfJWmhVClzQPy4okpVzlAqpdYK59pyutaJ/fEQAI6LuYMJC1IcMSzPiULlZ7jAozNQ22rH9VC3GZMUiLUYvdzjnyYjVo6SuqcP9Hi/6uJD8mLAQ9TEj02Owr7RB7jAoTFSYmlFab8OknIQeT4vfW+KjtKiy2Nvd1+x0Q6MMntog6lhwfrqIqNdEalVQKxWot7JpiHrmTF0T6qyO1snagtm54f3fJ4TAzuI6zm4bIpiwEPVBQ1MNOFLBkRPUfWUNNjQ53MhLC40v+/TYCFjtbhw4a4LbI1BvdWDbyVqMzYplc1CI8ClhWb58OfLz82EwGGAwGDBx4kR89tln5x0nhMDs2bMhSRI++eSTTsu8+eabIUlSm9esWbN8ugki8l1emgEHzprkDoNCkKXZiQpzMwanBG4COH/ISzMgOzESh8rMqLXaMSknAREaDpYNFT79S6Wnp+OZZ55Bbm4uhBB45513MGfOHOzduxfDhg1rPW7ZsmU+ZayzZs3CW2+91fpeq9X6EhYRdYNRr8YZAOZmJww6TphF3nF7BPaVmnDRwAS5Q+mWCI2Kq5iHKJ8SlquuuqrN+6effhrLly/H9u3bWxOWwsJCPP/889i1axdSU1O9Kler1SIlJcWXUIjID4b3M2JbUS0m5sTLHQqFiO0nazF+ANemosDrdh8Wt9uNDz/8EFarFRMnTgQANDU14YYbbsCrr77qUwKyadMmJCUlYfDgwbjrrrtQW1vb6fF2ux1ms7nNi4i6Z3BKy4RyRF355lQdRmXEQBWko4EovPn8qdu/fz+ioqKg1WqxaNEirFq1Cnl5eQCA++67D5MmTcKcOXO8Lm/WrFl49913sWHDBjz77LPYvHkzZs+eDbfb3eE5S5cuhdFobH1lZGT4ehtE9F9xkRo0Oz1ocrjkDoWC2J6SegxKjkKkln0+SB6S6Gz6v3Y4HA6UlJTAZDJh5cqVeOONN7B582acOHECv/71r7F3715ERbWseClJElatWoVrrrnG6/JPnjyJnJwcrF+/HlOnTm33GLvdDrv9uzH1ZrMZGRkZMJlMMBhCo8c6UTARQmD7yTo2DdF5hBD45lQdshOjkBjN/oXkX2azGUaj0avvb58Tlh+aNm0acnJyoNfr8dJLL0Gh+K7Sxu12Q6FQYPLkydi0aZPXZSYmJuKpp57CnXfe6dXxvtwwEbWv2mJHQ5MDucmhNfKDek9JbRPKTDaMyojhSt/UK3z5/u5x3Z7H44HdbscTTzyB2267rc2+ESNG4E9/+tN5nXU7U1paitraWq877BKRfyRGa1Fa34Qmh4tDPfs4IQR2n65HaoweE7JZ60bBwaefSgUFBZg9ezYyMzNhsViwYsUKbNq0CWvXrkVKSkq7HW0zMzMxYMCA1vdDhgzB0qVLce2116KxsRFPPPEE5s6di5SUFBQVFeGhhx7CwIEDMXPmzJ7fHRH5ZFRGDLadrMWknNAcsko953B5sP1kLcb1j4New1oVCh4+JSxVVVVYsGABysvLYTQakZ+fj7Vr12L69Olel3H06FGYTC2TVSmVSuzbtw/vvPMOGhoakJaWhhkzZuDJJ5/kXCxEMpAkCYOTo3G0whJyk4JRz9VbHThSYcHFAxOgUHD2VwouPe7DEgzYh4XIv/aVNiA7MQpRHBHSZ5yutcLS7MLwfpxUjQLHl+9vDqYnovPkp8dgfymn7e8rzv1bM1mhYMaEhYjaNSQlGofLOaFcuNtxshbpsXpkxUfKHQpRp5iwEFG7YiM1cHsEzM1OuUOhXiCEwNYTNRjez4jYSI3c4RB1iQkLEXVoeD8jDp5lLUu4EULg6xO1GJ0Zy5lrKWQwYSGiTuWlGnCwjP1ZwoXHI/Dl8RqMGxDLYcsUUpiwEFGnjBFqAICpiU1Doc7tEfjyRA0m5sRDq2KyQqGFCQsRdWlYmhGH2AE3pLk9Al+dqMFFOfFQc7VlCkH81BKRV4b1M+DAWTYNhaodp2pxUU48VExWKETxk0tEXjHo1FApJdRbHXKHQj46VGbGoORoJisU0vjpJSKvDUkx4EiFRe4wyAcVpmaolRISorjcCYU2JixE5JMR6UbsK22QOwzygt3lxulaK3KTuS4UhT4mLETkkyitCjq1ErWNdrlDoS7sPFWPCwfEyR0GkV8wYSEinw1KjsaxykaEwdqpYavwTAPyM4yQJK66TOGBCQsRdcvIDCO+5QKJQelMXRNi9GoYdGq5QyHyGyYsRNQtERoVorQqVFma5Q6FvkcIgbIGG/oncDFDCi9MWIio2wYmRaGoysqmoSDyzak6jEg3yh0Gkd8xYSGiHhmdGYM9JQ1yh0EAdp+ux9A0AyI0XNCQwg8TFiLqEZ1aifhIDcpNNrlD6dNK65uQGKVlvxUKW0xYiKjH+idE4nRtEzweNg3JQQiBM3U2ZMZHyB0KUa9hwkJEfjE2Kxa7S+rlDqNPKjzTgNGZMXKHQdSrmLAQkV+olQqkGHQ4U9ckdyh9itsj4BEtTXNE4YwJCxH5TUZcBMpNzXC5PXKH0mcUnqnHiH4cFUThjwkLEfnV2KxY7D7NpqFAOFHViIQoLTQq/iin8MdPORH5lVIhISMuAsU1VrlDCWtlDTYoJCArnhPEUd/AhIWI/C4tRo9aqx12l1vuUMJWWYMN2YlRcodBFDBMWIioV4zJjMWe0w1yhxGWbA439Bp2sqW+hQkLEfUKSZKQkxiJE1WNcocSdgrPNCAv1SB3GEQBxYSFiHpNkkEHS7MTNgebhvylptGOFKMOkiTJHQpRQDFhIaJeNSojBoVnGuQOI2ycqWtCf85oS30QExYi6lWSJGFQchSOVljkDiUseARYu0J9EhMWIup18VFaOFweWJqdcocS0spNNsRHauQOg0gWTFiIKCBGpBtx4KxZ7jBCWlmDDf0TOO8K9U1MWIgoYPJSDThYZpI7jJDFpiDqy5iwEFHAGCPUkCChockhdyghp97qgE7FuVeo72LCQkQBlZdmwOFydsD1hRACh8rNyEvj3CvUdzFhIaKAG5FuxL7SBrnDCBl7SuoxNitW7jCIZMWEhYgCLkqrgk6tRE2jXe5Qgp7d5YZKoYBOzeYg6tuYsBCRLAYlR+NYpQVCCLlDCWoHy8wY0c8odxhEsmPCQkSyGZMZi72cBbdTEgCFgqODiJiwEJFsdGoljHo1Ks3NcodCREGOCQsRySonMQqnaqzweNg09ENlDTakGvVyh0EUFJiwEJHsxmTGYk9JvdxhBJ1KczNSjDq5wyAKCkxYiEh2GpUCidFanG2wyR1KUOHMtkTfYcJCREEhKz4SpXVNcLNpCADYREb0A0xYiChojM2Kxa7iOrnDCAonqhsxMClK7jCIggYTFiIKGiqlAv1i9SipbZI7FNk12l2I0qrkDoMoaDBhIaKgkh4bgUpLM5xuj9yhEFEQYcJCREFnbGYsdp/uu6OGLM1O1q4Q/YBPCcvy5cuRn58Pg8EAg8GAiRMn4rPPPjvvOCEEZs+eDUmS8Mknn3RaphACjz76KFJTU6HX6zFt2jQcP37cp5sgovCiUEjIio9AUXWj3KHI4kRVI3LZf4WoDZ8SlvT0dDzzzDPYvXs3du3ahSlTpmDOnDk4ePBgm+OWLVvm9XC85557Di+99BL+8pe/YMeOHYiMjMTMmTPR3MyZL4n6slSjHg1NTjQ73XKHIgsOaSZqy6eE5aqrrsIVV1yB3NxcDBo0CE8//TSioqKwffv21mMKCwvx/PPP469//WuX5QkhsGzZMixZsgRz5sxBfn4+3n33XZSVlXVZM0NE4W9MZgz2ljTIHQYRBYFu92Fxu9348MMPYbVaMXHiRABAU1MTbrjhBrz66qtISUnpsoxTp06hoqIC06ZNa91mNBoxfvx4bNu2rcPz7HY7zGZzmxcRhR9JkjAwKQrHKy1yhxIwXL2aqH0+Jyz79+9HVFQUtFotFi1ahFWrViEvLw8AcN9992HSpEmYM2eOV2VVVFQAAJKTk9tsT05Obt3XnqVLl8JoNLa+MjIyfL0NIgoRidFaWB1uNDlccocSEKdrm5AVHyl3GERBx+du6IMHD0ZhYSFMJhNWrlyJhQsXYvPmzThx4gS++OIL7N27tzfibKOgoAD3339/63uz2cykhSiMjUw3YvvJOkzMiZc7lF7XYHOifwITFqIf8jlh0Wg0GDhwIABg7Nix2LlzJ1588UXo9XoUFRUhJiamzfFz587F5MmTsWnTpvPKOtdsVFlZidTU1NbtlZWVGDVqVIcxaLVaaLVaX0MnohAlSRIGJUfhSIUZQ1IMcofTq9gkRNS+Hs/D4vF4YLfb8fDDD2Pfvn0oLCxsfQHAn/70J7z11lvtnjtgwACkpKRgw4YNrdvMZjN27NjR2i+GiAgA4qO0cLg8sDQ75Q6FiGTgUw1LQUEBZs+ejczMTFgsFqxYsQKbNm3C2rVrkZKS0m5H28zMTAwYMKD1/ZAhQ7B06VJce+21kCQJixcvxlNPPYXc3FwMGDAAjzzyCNLS0nDNNdf0+OaIKLzkp8dga1ENJuUkyB1Kr7A53NCplXKHQRSUfEpYqqqqsGDBApSXl8NoNCI/Px9r167F9OnTvS7j6NGjMJlMre8feughWK1W3HHHHWhoaMDFF1+MNWvWQKfT+RIaEfUReakGHCozIy8t/JqGjldZMDQ1/O6LyB8kEQYNpmazGUajESaTCQYD/7MThbsDZ03IiIuAUa+WOxS/2ltSj9GZsXKHQRQwvnx/cy0hIgo5w/sZcbDM1PWBIYaz2xJ1jAkLEYWkYWlGHDgbPkmLEAJuD1eoJuoIExYiCklGvRqSBNRbHXKH4heHyy0YHOZDtol6ggkLEYWsYWlGHK4Ij6U5ml1uRGl9nhqLqM9gwkJEIW1EPyP2lTbIHUaPuNweKNl/hahTTFiIKKRF69TQqBSobbTLHUq31TQ6kGLkVA5EnWHCQkQhb0iKAUcrLCE7rX2luRnxkRq5wyAKakxYiCgsjMyIwbeloTlqyOURUCn545ioM/wfQkRhIVKrgl6tRE0INg0pFey/QtQVdkknorAxOCUaW4tqkBDV/dXcm51unKhqhNPdMieKQpIg0DJPyrmJ3c79XQJa9+UkRcGg697Mu6HalEUUSExYiCisDO/XMqHc8H5Gr453uT04UGaG2yOgkACtSonc5ChoVd4vQiiEwPGqRhyvbIRSIWFYmgFqL5t4vp8IEVHHmLAQUVgx6NQQArA0OxHdSY1HTaMdp2utUEgS8tNjetQsI0kSBiVHA2hJgDYerca0oUleJSJMVoi8wz4sRBR2RqQbceBs+xPKVVvs2FlcB5PNibFZcRidGevXPiQqpQLj+seiqLrRb2USERMWIgpTA5OicLzS0vq+zurAzuI6NNpdGNc/DjmJUb127ZgIDWoaHV73TWEdC1HXmLAQUVhKjNbC3OyCyebEzuI61FntGNc/DgMSIgNy/VEZMdh2sjYg1yLqC5iwEFHYGpMZg+IaKy7IisXApOiAXlunVmJ4PyO2FtV0WdPCMUJEXWPCQkRhS5IkjMyIka1jq0GnxpjMWOw909DpcRzWTNQ1JixERL1Ip1ZyYUMiP2DCQkTUyzqrP2mZ/4UJDVFXmLAQEfWyzpp8Dpw1YUhqYPvXEIUiJixERL0sJykKB86evzCj0+2ByyN8mlWXqK9iwkJE1MsMOjUiNEocqfhuMrtGuwvbimoxOiNGvsCIQgin5iciCoDsxChUW+zYU1IPpSRBpZQwOTeBU/MTeYkJCxFRgCRGa5EY3f2VpIn6MjYJERERUdBjwkJERERBjwkLERERBT0mLERERBT0mLAQERFR0GPCQkREREGPCQsREREFPSYsREREFPSYsBAREVHQY8JCREREQY8JCxEREQU9JixEREQU9JiwEBERUdBjwkJERERBTyV3AP4ghAAAmM1mmSMhIiIib5373j73Pd6ZsEhYLBYLACAjI0PmSIiIiMhXFosFRqOx02Mk4U1aE+Q8Hg/KysoQHR0NSZJ65RpmsxkZGRk4c+YMDAZDr1wjlPB5tMXn0RafR1t8Hm3xebTVl5+HEAIWiwVpaWlQKDrvpRIWNSwKhQLp6ekBuZbBYOhzH6jO8Hm0xefRFp9HW3webfF5tNVXn0dXNSvnsNMtERERBT0mLERERBT0mLB4SavV4rHHHoNWq5U7lKDA59EWn0dbfB5t8Xm0xefRFp+Hd8Ki0y0RERGFN9awEBERUdBjwkJERERBjwkLERERBT0mLERERBT0mLB44dixY5gzZw4SEhJgMBhw8cUXY+PGja37v/32W8ybNw8ZGRnQ6/UYOnQoXnzxRRkj7l1dPQ8AuPfeezF27FhotVqMGjVKnkADxJvnUVJSgiuvvBIRERFISkrCgw8+CJfLJVPEvWfTpk2QJKnd186dO1uP++ijjzBq1ChEREQgKysLf/zjH2WMuvd4+zzWrl2LCRMmIDo6GomJiZg7dy6Ki4vlC7yXePM8Hn/88Xb3R0ZGyhy9/3n7+RBC4H/+538waNAgaLVa9OvXD08//bSMkctEUJdyc3PFFVdcIb799ltx7Ngx8Ytf/EJERESI8vJyIYQQb775prj33nvFpk2bRFFRkfjb3/4m9Hq9ePnll2WOvHd09TyEEOKee+4Rr7zyirjpppvEyJEj5Qs2ALp6Hi6XSwwfPlxMmzZN7N27V3z66aciISFBFBQUyBy5/9ntdlFeXt7mddttt4kBAwYIj8cjhBDi008/FSqVSixfvlwUFRWJf//73yI1NTUs/7948zxOnjwptFqtKCgoECdOnBC7d+8Wl1xyiRg9erTM0fufN8/DYrGcd0xeXp5YuHChvMH3Am+ehxAtP08HDx4s/vWvf4mTJ0+KXbt2ic8//1zGyOXBhKUL1dXVAoDYsmVL6zaz2SwAiHXr1nV43i9+8Qtx+eWXByLEgPL1eTz22GNhnbB48zw+/fRToVAoREVFResxy5cvFwaDQdjt9oDHHEgOh0MkJiaK3//+963b5s2bJ6677ro2x7300ksiPT29zQ/pcNTe8/jHP/4hVCqVcLvdrdtWr14tJEkSDodDjjADpr3n8UOFhYXn/R8LV+09j0OHDgmVSiWOHDkiY2TBgU1CXYiPj8fgwYPx7rvvwmq1wuVy4bXXXkNSUhLGjh3b4XkmkwlxcXEBjDQwuvs8wpU3z2Pbtm0YMWIEkpOTW8+bOXMmzGYzDh48KFfoAbF69WrU1tbilltuad1mt9uh0+naHKfX61FaWorTp08HOsSAau95jB07FgqFAm+99RbcbjdMJhP+9re/Ydq0aVCr1TJG2/vaex4/9MYbb2DQoEGYPHlyACOTR3vP4//+7/+QnZ2Nf//73xgwYAD69++P2267DXV1dTJGKhO5M6ZQcObMGTF27FghSZJQKpUiNTVV7Nmzp8Pjv/76a6FSqcTatWsDGGXg+PI8wr2GRYiun8ftt98uZsyY0eYcq9UqAIhPP/000OEG1OzZs8Xs2bPbbHvttddERESEWL9+vXC73eLo0aNiyJAhAoDYunWrTJEGRnvPQwghNm3aJJKSkoRSqRQAxMSJE0V9fX3gAwywjp7HOTabTcTGxopnn302gFHJp73nceeddwqtVivGjx8vtmzZIjZu3ChGjRoVljX4XemzNSwPP/xwh52dzr2OHDkCIQR++ctfIikpCV9++SW++eYbXHPNNbjqqqtQXl5+XrkHDhzAnDlz8Nhjj2HGjBky3Fn39NbzCFV8Hm15+zy+r7S0FGvXrsWtt97aZvvtt9+Ou+++Gz/60Y+g0WgwYcIEXH/99QDQ5fLywcKfz6OiogK33347Fi5ciJ07d2Lz5s3QaDS47rrrIEJkInJ/Po/vW7VqFSwWCxYuXNjbt+BX/nweHo8Hdrsd7777LiZPnozLLrsMb775JjZu3IijR48G8rZk12en5q+urkZtbW2nx2RnZ+PLL7/EjBkzUF9f32bZ79zcXNx66614+OGHW7cdOnQIl19+OW677baQ68HdG88DaOnx/8knn6CwsLA3wu41/nwejz76KFavXt3mGZw6dQrZ2dnYs2cPRo8e3Vu34TfePg+NRtP6/sknn8TLL7+Ms2fPttu04Xa7UVFRgcTERGzYsAFXXHEFqqqqkJiY6Pf4/c2fz+ORRx7BmjVr2owKKS0tRUZGBrZt24YJEyb4/wb8rDc+HwAwdepUGAwGrFq1yq/x9jZ/Po/HHnsMf/jDH+B0Olu32Ww2RERE4PPPP8f06dP9fwNBSiV3AHJJTEz06gdjU1MTgPN/81MoFPB4PK3vDx48iClTpmDhwoUhl6wA/n8eoc6fz2PixIl4+umnUVVVhaSkJADAunXrYDAYkJeX5+fIe4e3z+McIQTeeustLFiwoMMvI6VSiX79+gEAPvjgA0ycODEkkhXAv8+jqanpvM+PUqkEgJD5P9Ubn49Tp05h48aNWL16tb/CDBh/Po+LLroILpcLRUVFyMnJAdAylQIAZGVl+S/oUCBXW1SoqK6uFvHx8eLHP/6xKCwsFEePHhUPPPCAUKvVorCwUAghxP79+0ViYqK48cYb2wxPq6qqkjl6//PmeQghxPHjx8XevXvFnXfeKQYNGiT27t0r9u7dG3ajYrx5HueGNc+YMUMUFhaKNWvWiMTExLAc1nzO+vXrBQBx+PDh8/ZVV1eL5cuXi8OHD4u9e/eKe++9V+h0OrFjxw4ZIg2Mzp7Hhg0bhCRJ4oknnhDHjh0Tu3fvFjNnzhRZWVmiqalJhmh7X2fP45wlS5aItLQ04XK5AhiZPDp7Hm63W4wZM0ZccsklYs+ePWLXrl1i/PjxYvr06TJEKi8mLF7YuXOnmDFjhoiLixPR0dFiwoQJbTpLPvbYYwLAea+srCz5gu5FXT0PIYS49NJL230mp06dkifoXuTN8yguLhazZ88Wer1eJCQkiF//+tfC6XTKFHHvmzdvnpg0aVK7+6qrq8WECRNEZGSkiIiIEFOnThXbt28PcISB1dnzEEKIDz74QIwePVpERkaKxMREcfXVV3f6ZR7qunoebrdbpKeni9/+9rcBjEo+XT2Ps2fPih//+MciKipKJCcni5tvvlnU1tYGMMLg0Gf7sBAREVHoCI0u+URERNSnMWEhIiKioMeEhYiIiIIeExYiIiIKekxYiIiIKOgxYSEiIqKgx4SFiIiIgh4TFiIiIgp6TFiIiIgo6DFhISIioqDHhIWIiIiCHhMWIiIiCnr/D5ZeBCLarDl1AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now finalize the corner lists.  Remember, our avgDistrictPop and normal pop threshold are 745646.231 186411\n",
      "You may suggest [ [26,14,69,71,36,27,88,47,20 ] ] \n",
      "let's decide whether to delete, accept, or modify list [55, 11, 80, 5] with pop 165246.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) 0\n",
      "enter 1 if you want to manually add another corner-county cluster 1\n",
      "Type in a [county list], where the corner county is first in the list.  Or type 0 to stop [26,14,69,71,36,27,88,47,20 ]\n",
      "enter 1 if you want to manually add another corner-county cluster 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Our final pops and fused-county lists are...\n",
      "160963.0 [26, 14, 69, 71, 36, 27, 88, 47, 20]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aDP = float(statePop)/nDistricts\n",
    "maxCCBratio = 1./4.  #adjustable max fraction of district pop for corner county blocks.  Let's try 3/16\n",
    "maxCCBpop = maxCCBratio * aDP\n",
    "print(\"continuing from above, develop corner county blocks from each low-pop corner county until it hits\",r3(maxCCBratio),\"of\",int(aDP) )\n",
    "CCBlist, CCBpop, passThruList = list(), list(), list()  #\"waiveThru\" counties get chance to join a cluster even if high pop\n",
    "nFuses = 0\n",
    "for c in has1neighborCs:\n",
    "    print(\"checking if county\",c,\"with pop\",countyPop[c],\"and only 1 neighbor is less pop than\",int(maxCCBpop),\"vs districtPop\",int(aDP) )\n",
    "    if countyPop[c] > maxCCBpop:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "        nc = neighborCountyList[c][0]\n",
    "        plotPoly(countyGeom[nc],0.5)\n",
    "        plotPoly(MAP,0.2)\n",
    "        print(\"county\",c,\"has pop\",countyPop[c],\"and its only neighbor has pop\",countyPop[nc],\"vs districtPop\",aDP,\". Default = keep un-fused\")\n",
    "        print(\"enter 0 to keep\",c,\"as an unfused collection of units, 1 to fuse as one unit and stop, 2 to force-add at least the next closest county\")\n",
    "        fuseChoice = input(\"0, 1, or 2.  Any other input taken as a zero\")\n",
    "        if fuseChoice == 0:\n",
    "            keepUnfused = True\n",
    "            break\n",
    "        elif int(fuseChoice) == 1:\n",
    "            CCBlist.append([c])\n",
    "            CCBpop.append(countyPop[c])  \n",
    "            hasFewNeighborCs.append(c)  #this adds this [c] to the final list of fused units, but will fail to find more in below\n",
    "        elif int(fuseChoice) == 2:\n",
    "            CCBlist.append([c,nc ] )\n",
    "            CCBpop.append(countyPop[c] + countyPop[nc])\n",
    "            hasFewNeighborCs.append(c)\n",
    "            passThruList.append(c)   #pass on thru to the below 2neighbor logic even if too high-pop to qualify\n",
    "    else:\n",
    "        hasFewNeighborCs.append(c)  #normal case; we'll handle in next, more general, for loop            \n",
    "        \n",
    "for c in hasFewNeighborCs:\n",
    "    print(\"checking if county\",c,\"with pop\",countyPop[c],\"and 1 or 2 neighbors is less pop than\",int(maxCCBpop) )\n",
    "    if countyPop[c] < maxCCBpop :\n",
    "        CCBlist.append([c])\n",
    "        CCBpop.append(countyPop[c])\n",
    "        CCBno = CCBlist.index([c])\n",
    "    if c in passThruList:\n",
    "        CCBno = CCBlist.index([c,neighborCountyList[c][0] ])\n",
    "    if countyPop[c] < maxCCBpop or c in passThruList:            \n",
    "        CCBstarter = c\n",
    "        canAdd = True\n",
    "        while canAdd:\n",
    "            nbrSet = set()\n",
    "            for cc in CCBlist[CCBno]:\n",
    "                nbrSet = ( nbrSet.union(set(neighborCountyList[cc])) ).difference(set(CCBlist[CCBno]))\n",
    "            nPop = [countyPop[cc] for cc in nbrSet]\n",
    "            nDist = [countyGeom[cc].centroid.distance(countyGeom[CCBstarter].centroid) for cc in nbrSet]\n",
    "            idx = np.argsort(nDist)\n",
    "            nbrList, newList = list(nbrSet), list()\n",
    "            for i in range(len(nDist)):  #add counties, closest to starter that will fit until over\n",
    "                cc = nbrList[idx[i]]\n",
    "                if CCBpop[CCBno] + countyPop[cc] < maxCCBpop:\n",
    "                    newList.append(cc)\n",
    "                    CCBlist[CCBno].append(cc)\n",
    "                    CCBpop[CCBno] += countyPop[cc]\n",
    "                    #print(\"adding county\",cc,\"with pop\",countyPop[cc],\"to list started by\",CCBstarter,\".Cluster pop now\",CCBpop[CCBno]  )\n",
    "            if newList == list():  #no eligible neighbor counties found; stop\n",
    "                canAdd = False\n",
    "                for cc in CCBlist[CCBno]:\n",
    "                    plotPoly(countyGeom[cc])\n",
    "                    plotCenter(CCBno,countyGeom[cc])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "                    \n",
    "print(\"Below I plot these again by county no, with faded neighboring counties\")\n",
    "plotPoly(MAP,0.15)\n",
    "for L in CCBlist:\n",
    "    print(CCBlist.index(L),\" \",L)\n",
    "    for c in L:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "        for cc in list(set(neighborCountyList[c]).difference(L) ):\n",
    "            plotPoly(countyGeom[cc],0.4)\n",
    "            plotCenter(cc,countyGeom[cc],8)\n",
    "plt.show()\n",
    "rejectList = list()\n",
    "print(\"Now finalize the corner lists.  Remember, our avgDistrictPop and normal pop threshold are\",r3(aDP), int(maxCCBpop))\n",
    "print(\"You may suggest [ [26,14,69,71,36,27,88,47,20 ] ] \" )\n",
    "for i,L in enumerate(CCBlist):\n",
    "    if L[0] not in passThruList:  #if we forced the fused-counties list above, don't give option here to modify\n",
    "        print(\"let's decide whether to delete, accept, or modify list\",L,\"with pop\",CCBpop[i] )\n",
    "        isOK = input(\"enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list)\")\n",
    "        if not (isOK == 1 or isOK == str(1)) :\n",
    "            if isOK == 0 or isOK == str(0) :\n",
    "                rejectList.append(L)\n",
    "            else:\n",
    "                notGood = True\n",
    "                while notGood:       \n",
    "                    Lnew = ast.literal_eval(isOK)        \n",
    "                    if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                        notGood = False\n",
    "                    else:\n",
    "                        print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                        isOK = input(\"Try again here \")\n",
    "                print(\"OK, I will replace\",L,\"with\",Lnew)\n",
    "                CCBpop[i] = np.sum( [countyPop[c] for c in Lnew] )\n",
    "                CCBlist[i] = Lnew.copy()\n",
    "for L in rejectList:\n",
    "    del CCBpop[ CCBlist.index(L)]\n",
    "    del CCBlist[CCBlist.index(L)]\n",
    "stillAdding = True\n",
    "while stillAdding:\n",
    "    addMore = input(\"enter 1 if you want to manually add another corner-county cluster\")\n",
    "    if int(addMore) != 1:\n",
    "        stillAdding = False\n",
    "    else:\n",
    "        isOK = input(\"Type in a [county list], where the corner county is first in the list.  Or type 0 to stop\")\n",
    "        if isOK == 0 or isOK == str(0) :\n",
    "            print(\"OK, we'll stop adding corner clusters\")\n",
    "            stillAdding = False\n",
    "        else:\n",
    "            notGood = True\n",
    "            while notGood:       \n",
    "                Lnew = ast.literal_eval(isOK)        \n",
    "                if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                    notGood = False\n",
    "                    for L in CCBlist:\n",
    "                        if set(L).intersection(set(Lnew)) != set(list()) :\n",
    "                            notGood = True\n",
    "                            print(\"OOPS! The following inputted counties are already in\",L,\":\",set(L).intersection(set(Lnew)) )\n",
    "                            isOK = input(\"Try again here \")\n",
    "                    if notGood == False:\n",
    "                        CCBlist.append(Lnew)\n",
    "                        CCBpop.append( np.sum( [countyPop[c] for c in Lnew] ) )\n",
    "                else:\n",
    "                    print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                    isOK = input(\"Try again here \")\n",
    "print(\"Our final pops and fused-county lists are...\")\n",
    "allFusedCounties = list()\n",
    "CCBgeom = [dummyPoly for L in CCBlist ]\n",
    "CCBcp = list()\n",
    "for i, L in enumerate(CCBlist):\n",
    "    CCBcp.append( getHDcp([countyCP[c] for c in L], [countyPop[c] for c in L], [ j for j in range(len(L)) ] ) )\n",
    "    print(CCBpop[i],L)\n",
    "    pops, CPs = list(), list()\n",
    "    for c in L:\n",
    "        if c == L[0]:\n",
    "            CCBgeom[i] = countyGeom[c]\n",
    "        else:\n",
    "            CCBgeom[i] = CCBgeom[i].union(countyGeom[c])\n",
    "        allFusedCounties.append(c)\n",
    "        pops += countyPop[c]       #  IS THIS EVEN USED?\n",
    "        CPs.append(countyCP[c])   #  IS THIS EVEN USED?\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(i,countyGeom[c])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "206c9372-8ec8-4190-93ed-04df286466e0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now identify the border counties + border fused units, and interior small counties with pop < 14912\n",
      "We defined a total of 5 unit (but not corner-cluster) counties in the map, excluding the cut-out districts\n"
     ]
    }
   ],
   "source": [
    "maxWholeBorderCountyPop = 0.02 * aDP   #to encourage contiguity, border counties > 0.02 aDP will be forced whole\n",
    "maxInteriorBorderCountyPop = 0.02 * aDP\n",
    "print(\"now identify the border counties + border fused units, and interior small counties with pop <\", int(maxInteriorBorderCountyPop))\n",
    "unitCounties, borderCounties = list(), list()\n",
    "origMAP = MAP\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    MAPexterior = MAP.exterior\n",
    "else:\n",
    "    maxArea = 0\n",
    "    for geo in MAP.geoms:\n",
    "        if geo.area > maxArea:\n",
    "            MAPexterior = geo.exterior\n",
    "            maxArea = geo.area\n",
    "            MAP0 = geo\n",
    "    MAP = MAP0\n",
    "for c in uncutCountyList:\n",
    "    if countyGeom[c].intersects(MAPexterior):\n",
    "        borderCounties.append(c)\n",
    "        if c not in allFusedCounties:\n",
    "            if countyPop[c] < maxWholeBorderCountyPop:\n",
    "                unitCounties.append(c)\n",
    "    else:\n",
    "        if countyPop[c] < maxInteriorBorderCountyPop and c not in allFusedCounties:\n",
    "            unitCounties.append(c)\n",
    "print(\"We defined a total of\",len(unitCounties),\"unit (but not corner-cluster) counties in the map, excluding the cut-out districts\")        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "e0ff719c-59dc-4827-a522-11bd352f7524",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For this state, do we have a lot of populated fragmented VTDs?\n",
      "5 fragmented VTDs out of 2666\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FYI, here are the locations of fragmented VTDs with pop > 3000\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"For this state, do we have a lot of populated fragmented VTDs?\")\n",
    "nFragmentedVTDs,fragmentedVTDs = 0, list()\n",
    "for v in populatedTractList:\n",
    "    c = countyNo[v]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :  #a multipoly vtd-based unit\n",
    "            nFragmentedVTDs +=1\n",
    "            fragmentedVTDs.append(v)\n",
    "print(len(fragmentedVTDs),\"fragmented VTDs out of\",nVTDs)\n",
    "fragPop = [tractPop[v] for v in fragmentedVTDs]\n",
    "plt.hist(fragPop)\n",
    "plt.show()\n",
    "print(\"FYI, here are the locations of fragmented VTDs with pop > 3000\")\n",
    "for v in fragmentedVTDs:\n",
    "    if tractPop[v] > 3000:\n",
    "        plotPoly(vtdGeom[v])\n",
    "plotPoly(MAP,0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "71d771f8-dbe2-48f9-a702-9f66a62d1174",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now writing the master list of units, which may be individual vtd's (+surrounds), whole counties, or corner county clusters\n",
      "I split up 5 fragmented VTDs. Now define unit neighbor lists and fuse geometries of surrounds.\n",
      "looking for surrounds, now working on vtd 0\n",
      "looking for surrounds, now working on vtd 549\n",
      "looking for surrounds, now working on vtd 1110\n",
      "looking for surrounds, now working on vtd 1650\n",
      "looking for surrounds, now working on vtd 2174\n",
      "After surround checks, we appear to have 2284 building blocks defined. We captured 1 surrounded VTDs\n",
      "working on unit neighbor lists for county 0\n",
      "working on unit neighbor lists for county 20\n",
      "WARNING - unit 1173  = vtd 1335 in county 24 has only 1 neighbor= [1673] . Optional triage in next block\n",
      "working on unit neighbor lists for county 40\n",
      "working on unit neighbor lists for county 80\n",
      "All done creating unit lists\n"
     ]
    }
   ],
   "source": [
    "#3/2/24 - split up all multipoly VTDs into fragments, divvy pop by area\n",
    "unitPop, unitCP, unitGeom, nbrUnitGeom, allUnits = list(), list(), list(), list(), list()\n",
    "vtdUnits, countyUnits, borderUnits = list(),list(),list()\n",
    "countyUnitList = [list() for c in range(nCounties) ]\n",
    "surroundedVTDs, surrounders = list(), list()  #vtds that are surrounded by another vtd - problem for later enclaves, xfer their pops to surrounders\n",
    "#These surrounded VTDs don't get transferred to the unit list\n",
    "print(\"Now writing the master list of units, which may be individual vtd's (+surrounds), whole counties, or corner county clusters\")\n",
    "for c in unitCounties:\n",
    "    unitCP.append(countyCP[c])\n",
    "    unitPop.append(countyPop[c])\n",
    "    unitGeom.append(   countyGeom[c] )\n",
    "    nbrUnitGeom.append(countyGeom[c] )\n",
    "    countyUnits.append(c)\n",
    "    allUnits.append(c+0.5)  #use non-integers to avoid vtd and county and cluster confusion\n",
    "\n",
    "nVTDneighbors = [0 for v in range(nVTDs)] #this loop -- just checking for surrounded VTDs\n",
    "lastVTDneighbor = [-999 for v in range(nVTDs)]\n",
    "\n",
    "nFragmentedVTDs,fragmentedVTDs, coastalFragmentedVTDs = 0, list(), list()  #a prev version treated coastal separately\n",
    "fragVTDgeom, parentVTDno, fragVTDpop = vtdGeom.to_list(), [v for v in range(nVTDs)], tractPop.to_list()  #these lists will expand to include vtd fragments \n",
    "origVTDgeom = vtdGeom.copy() #we create a parallel fragVTDgeom list which grabs the 1st fragment, then append fragments to the total list\n",
    "origVTDpop = tractPop.copy()\n",
    "VTDchildren = [[v] for v in range(nVTDs)]  #the list of all fragment numbers associated with the original VTD, including ones that get surrounded\n",
    "countyFragVTDset = [set(countyTractList[c]) for c in range(nCounties)]\n",
    "for v in populatedTractList:\n",
    "    c = countyNo[v]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :  #a multipoly vtd-based unit\n",
    "            nFragmentedVTDs +=1\n",
    "            fragmentedVTDs.append(v)\n",
    "            geos, areas = [geo for geo in vtdGeom[v].geoms ], [geo.area for geo in vtdGeom[v].geoms]\n",
    "            for i, geo in enumerate(geos):\n",
    "                if i == 0:\n",
    "                    fragVTDgeom[v] = geo\n",
    "                    fragVTDpop[v] = tractPop[v] * areas[i] / np.sum(areas)  #overwrite, then distribute balance below\n",
    "                else:\n",
    "                    fNo = len(fragVTDgeom)\n",
    "                    fragVTDgeom.append(geo)\n",
    "                    fragVTDpop.append( tractPop[v] * areas[i] / np.sum(areas) )\n",
    "                    parentVTDno.append(v)\n",
    "                    countyFragVTDset[c].add(fNo )\n",
    "                    VTDchildren[v].append(fNo)\n",
    "                    nVTDneighbors.append(0)\n",
    "                    lastVTDneighbor.append(-999)\n",
    "                    \n",
    "print(\"I split up\",nFragmentedVTDs,\"fragmented VTDs. Now define unit neighbor lists and fuse geometries of surrounds.\")\n",
    "\n",
    "debugV = -7616\n",
    "for kk,V in enumerate(populatedTractList):\n",
    "    if kk%500 == 0:\n",
    "        print(\"looking for surrounds, now working on vtd\",V)\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties:\n",
    "        for v in VTDchildren[V]:\n",
    "            for vv in countyFragVTDset[c].difference({v}) :\n",
    "                if fragVTDgeom[vv].intersects(fragVTDgeom[v]):\n",
    "                    nVTDneighbors[v] +=1\n",
    "                    lastVTDneighbor[v] = vv\n",
    "                    if v == debugV:\n",
    "                        print(\"I just added neighbor\",vv,\"to magicV\",v)\n",
    "                #if nVTDneighbors[v] >= 4:  #Enough to have >=2 even after surrounds.  Will do full neighbor list later\n",
    "                #    break\n",
    "            if nVTDneighbors[v] < 4:  #OK if a vtd has only 1 intracounty neighbor IF it touches another county, it's not surrounded\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if fragVTDgeom[v].intersects(countyGeom[cc]):\n",
    "                        if cc not in unitCounties + allFusedCounties:\n",
    "                            for vv in countyFragVTDset[cc] :\n",
    "                                if fragVTDgeom[vv].intersects(fragVTDgeom[v]):\n",
    "                                    nVTDneighbors[v] +=1\n",
    "                                    lastVTDneighbor[v] = vv\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                print(\"WARNING. vtd frag\",v,\"in county\",c,\"intersected county\",cc,\"but had no intracounty neighbors\")\n",
    "                                plotPoly(fragVTDgeom[v],2)\n",
    "                                plotCenter(\"iso\",fragVTDgeom[v])\n",
    "                                plotPoly(countyGeom[cc])\n",
    "                        else:\n",
    "                            nVTDneighbors[v] +=1\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                raise Exception(\"neighborless vtd fragment\",v,\"neighbors a unit or fused county\",cc)                                \n",
    "            if v == debugV:\n",
    "                print(v,\"has\",nVTDneighbors[v],\"neighbors.  its last is\",lastVTDneighbor[v])\n",
    "                \n",
    "for loop in range(3): #to catch surrounds of surrounds\n",
    "    for V in populatedTractList:\n",
    "        c = countyNo[V]\n",
    "        if c not in allFusedCounties and c not in unitCounties: \n",
    "            for v in VTDchildren[V]:\n",
    "                if nVTDneighbors[v] == 1:\n",
    "                    vv = lastVTDneighbor[v]\n",
    "                    if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "                        for sNo, s in enumerate(surroundedVTDs):\n",
    "                            if surrounders[sNo] == v:\n",
    "                                surrounders[sNo] = vv\n",
    "                    surroundedVTDs.append(v)\n",
    "                    surrounders.append(vv)\n",
    "                    nVTDneighbors[vv] -=1\n",
    "                    nVTDneighbors[v] -=1 #in case this surrounder becomes a later surroundee\n",
    "                    fragVTDpop[vv] += fragVTDpop[v]\n",
    "                    fragVTDpop[v] = 0\n",
    "                    if lastVTDneighbor[vv] == v:  #find another neighbor in case this surrounder is also a surroundee in loop 2\n",
    "                        for vvv in countyFragVTDset[c]:\n",
    "                            if vvv not in [v,vv]:\n",
    "                                if fragVTDgeom[vvv].intersects(fragVTDgeom[vv]):\n",
    "                                    lastVTDneighbor[vv] = vvv\n",
    "                    if lastVTDneighbor[vv] == v:\n",
    "                        print(\"WARNING.  We did not find another neighbor of surrounder\",vv,\"other than surroundee\",v)\n",
    "                    if loop > 0:\n",
    "                        print(\"On loop\",loop+1,\"for county\",c,\" we found that vtd frag\",v,\"now has only 1 neighbor\",vv)\n",
    "#NEW for MI -- allow manual entry of surrounders (needed rarely near a state border)\n",
    "#specialSurrounded = [3647, 5145 ]\n",
    "#specialSurrounder =  3646\n",
    "#print(\"special for MI, I believe that\", specialSurrounded,\"are surrounded by vtd (fragment)\",specialSurrounder,\". Here, let me show you\")\n",
    "#c = countyNo[parentVTDno[specialSurrounder]]\n",
    "#plotPoly(countyGeom[c])\n",
    "#for v in specialSurrounded:\n",
    "#    plotPoly(fragVTDgeom[v])\n",
    "#    plotCenter(v,fragVTDgeom[v])\n",
    "#plotPoly(fragVTDgeom[specialSurrounder],0.2)\n",
    "#plotCenter(specialSurrounder, fragVTDgeom[specialSurrounder], 8)\n",
    "#plt.show()\n",
    "#shouldIcombine = int(input(\"enter 1 to apply the surrounding operation\"))\n",
    "#if shouldIcombine == 1:\n",
    "#    for v in specialSurrounded:\n",
    "#        vv = specialSurrounder\n",
    "#        if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "#            for sNo, s in enumerate(surroundedVTDs):\n",
    "#                if surrounders[sNo] == v:\n",
    "#                    surrounders[sNo] = vv\n",
    "#        surroundedVTDs.append(v)\n",
    "#        surrounders.append(vv)\n",
    "#        nVTDneighbors[vv] -=1\n",
    "#        nVTDneighbors[v] = 0 #we are capturing all surroundees (some of whom may touch other surroundees)\n",
    "#        fragVTDpop[vv] += fragVTDpop[v]\n",
    "#        fragVTDpop[v] = 0\n",
    "\n",
    "\n",
    "for V in populatedTractList:\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        for v in VTDchildren[V]:\n",
    "            if nVTDneighbors[v] >1:\n",
    "                unitCP.append(fragVTDgeom[v].centroid)\n",
    "                unitGeom.append(fragVTDgeom[v])\n",
    "                unitPop.append(fragVTDpop[v])   #for now, ratio pop by area, not block decomposition\n",
    "                vtdUnits.append(v)   #if a border unit, we'll catch in below big loop, after checking for surround\n",
    "                allUnits.append(v)\n",
    "#for V in populatedTractList:\n",
    "#    c = countyNo[V]\n",
    "#    if c not in allFusedCounties and c not in unitCounties:  \n",
    "#        for v in VTDchildren[V]: \n",
    "for V in populatedTractList:\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        for v in VTDchildren[V]:\n",
    "            if nVTDneighbors[v] == 1:  #a surrounded VTD, transfer its pop to surrounder unit.  Don't bother with shifting centerpoints\n",
    "                print(\"somehow we missed 1-neighbor vtd frag\",v,\" with last vtd frag nbr\",lastVTDneighbor[v])\n",
    "            if nVTDneighbors[v] == 0 and v not in surroundedVTDs:\n",
    "                print(\"WARNING. unsurrounded vtd\",v,\"had no found neighbors\")\n",
    "\n",
    "for i, L in enumerate(CCBlist):\n",
    "    unitCP.append( CCBcp[i] )\n",
    "    unitPop.append(CCBpop[i])\n",
    "    unitGeom.append(   CCBgeom[i])\n",
    "    nbrUnitGeom.append(CCBgeom[i])\n",
    "    allUnits.append(i+0.25)  #use alt non-integers to avoid vtd and county and cluster confusion\n",
    "\n",
    "nUnits = len(allUnits)\n",
    "print(\"After surround checks, we appear to have\",nUnits,\"building blocks defined. We captured\",len(surroundedVTDs),\"surrounded VTDs\")\n",
    "\n",
    "unitNbrs = [list() for u in range(nUnits)]\n",
    "countyUnitList = [list() for c in range(nCounties)]\n",
    "for c in uncutCountyList:\n",
    "    for v in countyFragVTDset[c]:\n",
    "        if v in allUnits:\n",
    "            countyUnitList[c].append(allUnits.index(v))\n",
    "\n",
    "sketchyList = list()\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"working on unit neighbor lists for county\",c)\n",
    "    if c not in allFusedCounties:  #see a separate loop below for cluster-cluster neighbors\n",
    "        if c in unitCounties:    \n",
    "            u = allUnits.index(c+0.5)\n",
    "            for cc in neighborCountyList[c]:\n",
    "                if cc not in allFusedCounties:\n",
    "                    if cc in unitCounties:\n",
    "                        unitNbrs[u].append(allUnits.index(cc+0.5))  #we'll catch the complement in the cc county's loop\n",
    "                    else:\n",
    "                        for uu in countyUnitList[cc] :\n",
    "                            if countyGeom[c].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu)\n",
    "                                unitNbrs[uu].append(u)\n",
    "            for i,geo in enumerate(CCBgeom):\n",
    "                if geo.intersects(countyGeom[c]):\n",
    "                    unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                    unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "        else:  #non-unit county      \n",
    "            for u in countyUnitList[c] :\n",
    "                for uu in list( set(countyUnitList[c]).difference({u}) ) :\n",
    "                    if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                        unitNbrs[u].append(uu )  #will catch complement later in this county's loop\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if cc not in allFusedCounties and cc not in unitCounties: #see an above block for handling unitCounties\n",
    "                        for uu in countyUnitList[cc]:\n",
    "                            if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu )\n",
    "\n",
    "            for u in countyUnitList[c] :\n",
    "                for i,geo in enumerate(CCBgeom):\n",
    "                    if geo.intersects(unitGeom[u]):\n",
    "                        unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                        unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "                if len(unitNbrs[u]) == 0:\n",
    "                    print(\"ERROR - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has no neighbors\")\n",
    "                if len(unitNbrs[u]) == 1:  #after fragmentation, this unit appears surrounded.  Next block to confirm it has non-intracounty neighbors                       \n",
    "                    print(\"WARNING - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has only 1 neighbor=\",unitNbrs[u],\". Optional triage in next block\")\n",
    "                    sketchyList.append([u,unitNbrs[u][0] ] )\n",
    "\n",
    "CCBunits = CCBlist.copy()                        \n",
    "for i, geo in enumerate(CCBgeom):  #this loop: only cluster-cluster intersections.  Cluster-vtd and cluster-county neighbors already found above.\n",
    "    for ii in range(i+1,len(CCBgeom) ) :\n",
    "        if geo.intersects(CCBgeom[ii]):\n",
    "            unitNbrs[allUnits.index(i+0.25) ].append(allUnits.index(ii+0.25) ) #all CCB-county, CCB-vtd intersxns already covered\n",
    "            unitNbrs[allUnits.index(ii+0.25)].append(allUnits.index(i+0.25) )\n",
    "print(\"All done creating unit lists\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "94741893-6835-45ac-9793-64cbaf4823b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sketchy unit 1173 has neighbor list [1673, 2]\n"
     ]
    }
   ],
   "source": [
    "for L in sketchyList:  #hope that some of these flagged units picked up a \n",
    "    print(\"sketchy unit\",L[0], \"has neighbor list\",unitNbrs[L[0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "cb4277b4-d6ef-4c8c-aa23-6fde227379ff",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in range(nUnits):\n",
    "    if allUnits[u] - int(allUnits[u]) == 0.25:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "e79873ab-0b8e-48a9-b4b0-05b3135b9cc3",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "8378940d-4387-4188-8ae1-a62010500ecb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now build the border topology\n",
      "counties and clusters done, now working on (frag) vtd-based units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now build the border topology\")\n",
    "borderUnits, borderType = list(), list()\n",
    "for c in borderCounties:\n",
    "    if c in unitCounties:\n",
    "        borderUnits.append(allUnits.index(c+0.5))\n",
    "        borderType.append(\"county\")\n",
    "for i,L in enumerate(CCBlist):\n",
    "    if CCBgeom[i].intersects(MAPexterior):  #should always be the case\n",
    "        borderUnits.append(allUnits.index(i+0.25))\n",
    "        borderType.append(\"cluster\")\n",
    "print(\"counties and clusters done, now working on (frag) vtd-based units\")\n",
    "for c in borderCounties:\n",
    "    if c not in unitCounties + allFusedCounties:\n",
    "        for u in countyUnitList[c]:\n",
    "            if unitGeom[u].intersects(MAPexterior):\n",
    "                borderUnits.append(u)\n",
    "                borderType.append(\"vtd\")                \n",
    "    \n",
    "for i,b in enumerate(borderUnits):\n",
    "    plotPoly(unitGeom[b])\n",
    "    if borderType[i] == \"cluster\":\n",
    "        j = int(allUnits[b])\n",
    "        for c in CCBlist[j]:\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "            plotCenter(\"fused\",countyGeom[c], 6)\n",
    "for c in unitCounties:\n",
    "    plotPoly(countyGeom[c],0.4)\n",
    "    plotCenter(\"unit\",countyGeom[c],8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "937d923d-9e95-45e9-9aef-77cb4377781d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking that the list of borderUnits is contiguous all around\n",
      "number of border units = 130\n"
     ]
    }
   ],
   "source": [
    "print(\"checking that the list of borderUnits is contiguous all around\")\n",
    "print(\"number of border units =\",len(borderUnits))\n",
    "for u in borderUnits:\n",
    "    isUnbroken, smallPieceList = isContiguous(list(set(borderUnits).difference({u})),unitNbrs)\n",
    "    if not isUnbroken:\n",
    "        print(\"border is discontig if we skip\",u)\n",
    "        for uu in smallPieceList:\n",
    "            plotPoly(unitGeom[uu],0.5)\n",
    "            plotCenter(\"n\"+str(uu),unitGeom[uu])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        plotPoly(unitGeom[u])\n",
    "        plt.show()\n",
    "borderSet = set(borderUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "93603f77-77fa-4453-b54b-5ea07fcb6721",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here, we identify 'border' units that aren't needed to define the map border\n",
      "Bueno! no 'border units' that could be eliminated from the border set\n"
     ]
    }
   ],
   "source": [
    "print(\"here, we identify 'border' units that aren't needed to define the map border\")\n",
    "canBeRemoved, powerNeighbors = set(), set()\n",
    "for u in borderUnits:\n",
    "    uNeighbors = list(borderSet.intersection(set(unitNbrs[u])) )\n",
    "    if len(uNeighbors) < 2:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        uu = uNeighbors[0]\n",
    "        otherBorderNeighbors = set(unitNbrs[uu]).intersection(borderSet).difference({u})\n",
    "        if len(otherBorderNeighbors) > 1:  #this neighbor of our 1-border-neighbor border unit makes a border chain without the problem border unit\n",
    "            canBeRemoved.add(u)\n",
    "            powerNeighbors.add(uu)\n",
    "        plotCenter(uu,unitGeom[uu],6)\n",
    "        plotPoly(unitGeom[uu],0.5)\n",
    "        for uuu in set(unitNbrs[uu]).intersection(borderSet).difference({u}):\n",
    "            plotPoly(unitGeom[uuu])\n",
    "            plotCenter(str(uuu)+\"=N of\"+str(uu),unitGeom[uuu])\n",
    "        for uuu in set(unitNbrs[u]).difference(borderSet):\n",
    "                plotCenter(uuu+0.1,unitGeom[uuu],6)\n",
    "                plotPoly(unitGeom[uuu],0.1)\n",
    "        c = countyNo[allUnits[u]]\n",
    "        #plotPoly(countyGeom[c] )\n",
    "        #plotCenter(c, countyGeom[c])\n",
    "        plt.show()\n",
    "if len(canBeRemoved) == 0:\n",
    "    print(\"Bueno! no 'border units' that could be eliminated from the border set\")\n",
    "else:\n",
    "    print(canBeRemoved,\"is the list of 1-neighbor 'border' units that can be eliminated from the border set\")\n",
    "    print(\"... as they are enveloped on the border; the enveloping border unit has two other map-border neighbors\")\n",
    "    yesRemove = input(\"enter 1 to remove these from the list of border units\")\n",
    "    if int(yesRemove) == 1:\n",
    "        canRemove = True\n",
    "        for uu in powerNeighbors:\n",
    "            testSet = (borderSet.difference(canBeRemoved)).difference({uu})\n",
    "            if not isContiguous(list(testSet),unitNbrs):\n",
    "                canRemove = False\n",
    "                print(\"We can't complete the border if unit\",uu,\"is not included in the ring\")\n",
    "        if canRemove:\n",
    "            borderSet = borderSet.difference(canBeRemoved)\n",
    "            borderList = list(borderSet)\n",
    "            borderUnits = list(borderSet)\n",
    "            print(\"Success! we removed\",canBeRemoved,\"from the list of borderUnits\")\n",
    "    else:\n",
    "        print(\"Fine, be that way.  Sheesh, I will keep them.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "b13c68e3-33ed-48b3-acca-78012ce0bf61",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here is the final border set\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "print(\"here is the final border set\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "173bb175-312b-4d08-a5b5-80a1d5d70416",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "print(isContiguous(borderUnits,unitNbrs)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "fc1ae6e1-ef52-412b-a966-e9739071af8f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For safekeeping, write the unit topology to a file\n"
     ]
    }
   ],
   "source": [
    "date_ = \"19Apr24\"\n",
    "print(\"For safekeeping, write the unit topology to a file\")  \n",
    "unitParentVTDno = [-999 for u in range(nUnits)]\n",
    "for u in range(nUnits):    \n",
    "    if allUnits[u] %1 == 0:\n",
    "        v = allUnits[u]\n",
    "        unitParentVTDno[u] = parentVTDno[v]\n",
    "\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        #for i,uu in enumerate(surrounders):  #no longer tracked\n",
    "         #   if u == uu:\n",
    "         #       unitVTDlist[u].append(surroundedVTDs[i])\n",
    "                \n",
    "unitNo = [u for u in range(nUnits)]\n",
    "unitCPx, unitCPy = [unitCP[u].x for u in range(nUnits)], [unitCP[u].y for u in range(nUnits)]\n",
    "onBorder = [0 for u in range(nUnits)]\n",
    "for u in borderUnits:\n",
    "    onBorder[u] = 1\n",
    "nbrDF = pd.DataFrame( {\"unitNo\":unitNo,\"centroid x\":unitCPx,\"centroid y\":unitCPy,\"unitPop\":unitPop,\"onBorder\":onBorder,\n",
    "                       \"neighborList\":unitNbrs, \"unitVTDlist\":unitVTDlist, \"unitParentVTDno\": unitParentVTDno, \"allUnits\":allUnits} )\n",
    "outname = STATE+\"unitTopologies_\"+date_+\".csv\" \n",
    "outpath = \"state_map_files/\"+outname\n",
    "nbrDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "d4baaea4-7af4-4407-aeb3-f4291d335f89",
   "metadata": {},
   "outputs": [],
   "source": [
    "vtdGeom = tractGeom.copy()  #optional reset if we need to rerun the below clipPoly routine with alternate clipPolys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "abdd07e7-f9be-480a-9d3d-b3948eeaaa2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "toSquishCountiesList = list()   #default; if we did not have any clipPoly's to move in\n",
    "nClips = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "4d5fdc3c-6126-4fa8-b484-1d0052c70aed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "for some states like FL, MD, MN, NC we move in partial counties via clipPoly's before running option 2\n",
      "adding code here to 'push in' state panhandles ...\n",
      "performing squish no 1 for state NC\n",
      "clipPoly 0 intersects [8, 9, 23, 64, 66, 70, 77] counties and a total of 114 units\n",
      "Here is the original cutLine and an alternate based on cut shapes\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "These are your orig (faint) and squished shapes for clip no 1 out of 2\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 when ready 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "performing squish no 2 for state NC\n",
      "clipPoly 1 intersects [6, 7, 14, 15, 20, 24, 26, 27, 36, 45, 47, 58, 68, 69, 71, 88, 93] counties and a total of 107 units\n",
      "Here is the original cutLine and an alternate based on cut shapes\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "These are your orig (faint) and squished shapes for clip no 2 out of 2\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 when ready 1\n"
     ]
    }
   ],
   "source": [
    "#starting with MN, we moved the \"option2\" block earlier in the notebook, as we run it before running option 1 (as in other states)\n",
    "print(\"for some states like FL, MD, MN, NC we move in partial counties via clipPoly's before running option 2\")\n",
    "vtdCP = tractCP.copy()\n",
    "#CODE TO SQUISH GEOMETRIES FROM CLIP LINES INTO THE MAP\n",
    "print(\"adding code here to 'push in' state panhandles ...\")\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "#Adding in here trimming ops\n",
    "toSquishUnitsList = list()\n",
    "toSquishGeomsList = list()  #combined list of geoms we will squish (over all squish operations)\n",
    "toSquishCountiesList = list()\n",
    "squishedShapesList = list()   #unit shapes after squishing, list over all squish operations\n",
    "if nClips > 0:\n",
    "    clipPoints = ast.literal_eval(trimDF[\"clipPoints\"][DFrow])   #sets of four points\n",
    "    farPoints  = ast.literal_eval(trimDF[\"farPoints\"][DFrow])    #pairs of points\n",
    "    newFarPoints  = ast.literal_eval(trimDF[\"newFarPoints\"][DFrow])   #pairs\n",
    "    cPts = [Point(clipPoints[i][0],clipPoints[i][1]) for i in range(len(clipPoints)) ]\n",
    "    fPts = [Point(farPoints[i][0],farPoints[i][1]) for i in range(len(farPoints)) ]\n",
    "    nfPts = [Point(newFarPoints[i][0],newFarPoints[i][1]) for i in range(len(newFarPoints)) ]\n",
    "    \n",
    "    for clipNo in range(nClips):\n",
    "        print(\"performing squish no\",clipNo+1,\"for state\",STATE)\n",
    "        n0,n1,n2,n3 = int(4*clipNo), int(4*clipNo+1), int(4*clipNo+2), int(4*clipNo+3)\n",
    "        clipPoly = Polygon([cPts[n0],cPts[n1],cPts[n2],cPts[n3] ] )\n",
    "        cutLine = LineString([cPts[n0],cPts[n1]] )\n",
    "        farLine = LineString([fPts[int(2*clipNo)],fPts[int(2*clipNo+1)] ] )\n",
    "        newFarLine = LineString([nfPts[int(2*clipNo)],nfPts[int(2*clipNo+1)] ])\n",
    "        \n",
    "        toSquishCounties = list()\n",
    "        toSquishUnits = list()\n",
    "        for c in range(nCounties):\n",
    "            if clipPoly.intersects(countyGeom[c]):\n",
    "                toSquishCounties.append(c)\n",
    "                if clipPoly.contains(countyGeom[c]):\n",
    "                    toSquishUnits = toSquishUnits + countyTractList[c]\n",
    "                else:\n",
    "                    for t in countyTractList[c]:\n",
    "                        if clipPoly.contains(vtdCP[t]):\n",
    "                            toSquishUnits.append(t)\n",
    "        print(\"clipPoly\",clipNo,\"intersects\",toSquishCounties,\"counties and a total of\",len(toSquishUnits),\"units\")\n",
    "        toSquishGeomUnion = vtdGeom[toSquishUnits[0]]\n",
    "        toSquishGeoms = list()\n",
    "        for t in toSquishUnits:\n",
    "            toSquishGeomUnion = toSquishGeomUnion.union(vtdGeom[t])\n",
    "            toSquishGeoms.append(vtdGeom[t])\n",
    "        unclippedGeom = MAP.difference(toSquishGeomUnion)\n",
    "        altCutLine = toSquishGeomUnion.buffer(0.001).intersection(unclippedGeom)\n",
    "        print(\"Here is the original cutLine and an alternate based on cut shapes\")\n",
    "        #plotPoly(MAP,0.1)\n",
    "        plotPoly(cutLine.buffer(0.02))\n",
    "        plotPoly(altCutLine,0.1)\n",
    "        plt.show()\n",
    "        # could use altCutLine for a more accurate squish at the squish-no_squish boundary ...\n",
    "        #newShapes = squish(clippedGeomList, altCutLine, farLine, newFarLine)\n",
    "        squishedShapes = squish(toSquishGeoms, cutLine, farLine, newFarLine) #..but may distort results\n",
    "        toSquishUnitsList.append(toSquishUnits)\n",
    "        toSquishGeomsList.append(toSquishGeoms)\n",
    "        toSquishCountiesList.append(toSquishCounties)\n",
    "        squishedShapesList.append(squishedShapes)\n",
    "        for geo in toSquishGeoms:\n",
    "            plotPoly(geo,0.1)\n",
    "            plotPoly(geo.centroid.buffer(0.004),0.1)\n",
    "        for geo in squishedShapes:\n",
    "            plotPoly(geo)\n",
    "            plotPoly(geo.centroid.buffer(0.002),0.4)\n",
    "        print(\"These are your orig (faint) and squished shapes for clip no\",clipNo+1,\"out of\",nClips)\n",
    "        plt.show()\n",
    "        pause = input(\"enter 1 when ready\")    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "62667c48-6c66-4381-b01d-518af61651bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#now apply the squish to all impacted vtds.  \"tractGeom\" will retain original vtd shapes, so we can reset if needed\n",
    "for i, vList in enumerate(toSquishUnitsList):\n",
    "    squishedShapes = squishedShapesList[i]\n",
    "    for j, v in enumerate(vList):\n",
    "        vtdGeom[v] = squishedShapes[j]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "7b967d22-41fb-454f-ae47-d72d712daa4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for t in range(nTracts):  #optional full state visualization after squish\n",
    "    if t not in allCutVTDs:\n",
    "        plotPoly(vtdGeom[t])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9715564f-3b60-43e5-9f1f-02f3dcee3933",
   "metadata": {},
   "outputs": [],
   "source": [
    "c = 22  #pick a county for visualization if desired\n",
    "print(\"here are the faint(original) and squished shapes for county\",c)\n",
    "for t in countyTractList[c]:\n",
    "    plotPoly(vtdGeom[t])\n",
    "    plotPoly(tractGeom[t],0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "760bc48e-0236-4ad7-b3b8-d74795009f53",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"alternate simple approach for Florida Keys - translate all toward county CP\")\n",
    "c = 43\n",
    "vtdGeom = tractGeom.copy()  #a reset\n",
    "nTranslated = 0\n",
    "newCP = Point(-81, 25.1)\n",
    "for v in countyTractList[c]:\n",
    "    if clipPoly.contains(tractCP[v]):\n",
    "        xDelta, yDelta = newCP.x - tractCP[v].x, newCP.y - tractCP[v].y\n",
    "        xOFF, yOFF = 0.95 * xDelta, 0.95 * yDelta\n",
    "        vtdGeom[v] = translate(vtdGeom[v],xoff= xOFF, yoff=yOFF)\n",
    "        nTranslated +=1\n",
    "print(\"I translated\",nTranslated,\"vtds toward the center of county\",c)\n",
    "hdCP = [vtdGeom[v].centroid for v in range(nTracts)]\n",
    "countyGeom[c] = vtdGeom[countyTractList[c][0]]\n",
    "for v in countyTractList[c]:\n",
    "    countyGeom[c] = countyGeom[c].union(vtdGeom[v])\n",
    "    plotPoly(hdCP[v].buffer(0.03))\n",
    "plotPoly(countyGeom[c])\n",
    "unsquishedMAP = MAP\n",
    "MAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "#plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "4ef91f8f-dabb-4c58-a8a4-bba8e725e586",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here we compute the map's convex hull. We can build out of whole counties or after squish operations.\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to use shifted shapes (e.g. for MD, MN), else enter 0 for most states to use uncut counties 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on confirming HD center 0 is inside the map's convex hull\n",
      "working on confirming HD center 549 is inside the map's convex hull\n",
      "working on confirming HD center 1110 is inside the map's convex hull\n",
      "working on confirming HD center 1650 is inside the map's convex hull\n",
      "working on confirming HD center 2174 is inside the map's convex hull\n",
      "Here is the convex hull and shape and a dot map of the (shifted) unit centerpoints\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Note the MAP convex hull.  Overwrite with your own polygon if desired.\n"
     ]
    }
   ],
   "source": [
    "#OPTION 2 - draw polygonal HDs.  #REQUIRES CONSISTENT TREATMENT OF CCB'S \n",
    "#For GA, MA, MD, MN, NC we draw HDs for ALL vtds, even if they are in a CCB.  We use the clipPoly's to squish in the corners for these HD shapes\n",
    "#Not sure if below would work if we have cut districts AND squished-in corners\n",
    "#We normally draw for each (squished or orig) vtd.  Or, read in tract or blockgroup geometries, use those pops and unit centerpoints\n",
    "\n",
    "hdCP = [vtdGeom[v].centroid for v in range(nTracts)]  #remember, this is after any squish operation\n",
    "print(\"Here we compute the map's convex hull. We can build out of whole counties or after squish operations.\")\n",
    "useSquish = int(input(\"enter 1 to use shifted shapes (e.g. for MD, MN), else enter 0 for most states to use uncut counties\"))\n",
    "if useSquish == 1:\n",
    "    convexMAP = hdCP[countyTractList[uncutCountyList[0]][0]].buffer(0.1) \n",
    "    for v in range(nTracts):\n",
    "        if v not in skipList and v not in allCutVTDs:\n",
    "            convexMAP = convexMAP.union(hdCP[v].buffer(0.1))\n",
    "else:  #build the map via simple union of counties not wholly in fully cut-out districts\n",
    "    convexMAP = countyGeom[uncutCountyList[0]]\n",
    "    for c in uncutCountyList:\n",
    "        convexMAP = convexMAP.union(countyGeom[c])\n",
    "    #convexMAP = MAP.centroid\n",
    "    #for c in range(nCounties):\n",
    "    #    if c not in allFusedCounties:\n",
    "    #        convexMAP = convexMAP.union(countyGeom[c])\n",
    "MAPhull = convexMAP.convex_hull.buffer(0.01*convexMAP.area**0.5)\n",
    "plotPoly(MAPhull)\n",
    "popHDlist = list()\n",
    "for t in range(nTracts):\n",
    "    if t not in allCutVTDs and t not in skipList:  #keep low-pop tracts as VEST may have assigned voters to them\n",
    "        popHDlist.append(t)\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on confirming HD center\",t,\"is inside the map's convex hull\")\n",
    "    if hdCP[t].disjoint(convexMAP.convex_hull):\n",
    "        plotPoly(hdCP[t].buffer(0.03))\n",
    "        hdCP[t] = nearest_points(convexMAP.convex_hull,hdCP[t])[0]\n",
    "        plotCenter(\"m\",hdCP[t])\n",
    "    else:\n",
    "        plotPoly(hdCP[t].buffer(0.01))\n",
    "plotPoly(convexMAP)\n",
    "plotPoly(convexMAP.convex_hull)\n",
    "plotPoly(MAPhull)\n",
    "for c in allFusedCounties:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "print(\"Here is the convex hull and shape and a dot map of the (shifted) unit centerpoints\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Note the MAP convex hull.  Overwrite with your own polygon if desired.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "8393e96a-75c6-48ec-94e8-1f6fe58d31df",
   "metadata": {},
   "outputs": [],
   "source": [
    "nHDs = nTracts  #need to run this if we start option 2 from a vest list, not a previously run HD poly list\n",
    "HDcountyNo = countyNo.copy()\n",
    "populatedTractList = popHDlist.copy()  #nomenclature equivalency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "bcaf6ea2-1c3b-48c1-9ad6-937d7b7e4385",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let us establish the (post-squish) point-point distances for all HD centers, about 8 min for 4000-unit state\n",
      "working on tract-tract distances for unit 0 out of 2666 . Time = 0\n",
      "working on tract-tract distances for unit 412 out of 2666 . Time = 42\n",
      "working on tract-tract distances for unit 910 out of 2666 . Time = 82\n",
      "working on tract-tract distances for unit 1310 out of 2666 . Time = 109\n",
      "working on tract-tract distances for unit 1759 out of 2666 . Time = 128\n",
      "working on tract-tract distances for unit 2174 out of 2666 . Time = 139\n",
      "All done; total elapsed  143 seconds for NC with 13 districts to map\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "our maxD was 3.5\n"
     ]
    }
   ],
   "source": [
    "#continuing option 2 ....... ##########  THIS IS FOR TRACT - TRACT, despite the \"unit\" nomenclature\n",
    "print(\"Let us establish the (post-squish) point-point distances for all HD centers, about 8 min for 4000-unit state\")\n",
    "#NOTE: FOR LARGE STATES, RESTRICT THE SEARCH TO COUNTIES WITHIN A 3/SQRT(nDistrict) DIAMETER OF THE HOME UNIT\n",
    "uuDist = [[int(maxD+1) for t in range(nHDs)] for t in range(nHDs)] #default: too big to capture\n",
    "closeCountyList = [list() for c in range(nCounties)]\n",
    "closeCountyDist = maxD   #min(maxD,3./float(nDistricts)**0.5 * maxD )  #use above maxD for these counties as well\n",
    "xScaleSquared = xScale*xScale\n",
    "if nDistricts < 10: #closeCountyDist >= maxD:  #small state\n",
    "    closeCountyList = [[i for i in range(nCounties)] for c in range(nCounties)]  #all counties are close enough\n",
    "else:\n",
    "    for c in uncutCountyList:\n",
    "        closeCountyList[c].append(c)\n",
    "        for cc in range(c+1,nCounties):\n",
    "            if cc in uncutCountyList:\n",
    "                if cc in neighborCountyList[c]:\n",
    "                    closeCountyList[c].append(cc)\n",
    "                    closeCountyList[cc].append(c)\n",
    "                else:    \n",
    "                    dist = getLongDist(countyCP[c], countyCP[cc],xScale)\n",
    "                    if dist < closeCountyDist:\n",
    "                        closeCountyList[c].append(cc)\n",
    "                        closeCountyList[cc].append(c)\n",
    "startTime = time.time()\n",
    "\n",
    "for i,t in enumerate(populatedTractList):\n",
    "    if i %400 == 0:\n",
    "        print(\"working on tract-tract distances for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime))\n",
    "    uuDist[t][t] == 0.\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "                dist = getLongDist(hdCP[t], hdCP[tt],xScale)\n",
    "                uuDist[t][tt], uuDist[tt][t] = dist, dist\n",
    "print(\"All done; total elapsed \",int(time.time()-startTime),\"seconds for\",STATE,\"with\",nDistricts,\"districts to map\" )\n",
    "plt.hist(uuDist)\n",
    "plt.show()\n",
    "print(\"our maxD was\",maxD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "2f392acb-ba52-4343-80ae-a58ba0b57366",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "similar to above, but for angles\n",
      "working on unit-unit angles for unit 0 out of 2666 . Time = 0\n",
      "working on unit-unit angles for unit 202 out of 2666 . Time = 11\n",
      "working on unit-unit angles for unit 412 out of 2666 . Time = 21\n",
      "working on unit-unit angles for unit 710 out of 2666 . Time = 30\n",
      "working on unit-unit angles for unit 910 out of 2666 . Time = 39\n",
      "working on unit-unit angles for unit 1110 out of 2666 . Time = 47\n",
      "working on unit-unit angles for unit 1310 out of 2666 . Time = 53\n",
      "working on unit-unit angles for unit 1516 out of 2666 . Time = 59\n",
      "working on unit-unit angles for unit 1759 out of 2666 . Time = 63\n",
      "working on unit-unit angles for unit 1974 out of 2666 . Time = 67\n",
      "working on unit-unit angles for unit 2174 out of 2666 . Time = 69\n",
      "working on unit-unit angles for unit 2413 out of 2666 . Time = 71\n",
      "All done with angles; total elapsed seconds = 71\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing option 2 \n",
    "print(\"similar to above, but for angles\")  #convention is angle[a][b] is from a to b\n",
    "uuAngle = [[0. for t in range(nHDs)] for t in range(nHDs)]\n",
    "\n",
    "pi = 3.141592653\n",
    "twoPi = pi*2.\n",
    "startTime = time.time()\n",
    "for i, t in enumerate(populatedTractList):\n",
    "    if i %200 == 0:\n",
    "        print(\"working on unit-unit angles for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime)  )\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "            angLE = math.atan2(hdCP[tt].y - hdCP[t].y, xScale * (hdCP[tt].x - hdCP[t].x) )\n",
    "            uuAngle[t][tt], uuAngle[tt][t] = angLE % twoPi, (angLE + pi) % twoPi\n",
    "print(\"All done with angles; total elapsed seconds =\",int(time.time()-startTime) )\n",
    "plt.hist(uuAngle)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "4cc54eba-ca37-4680-9699-37332133afb8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "745646.231 13 9693401.0 13.0 10439388.0\n",
      "9693401.0 9693401 0.9285411175444385\n"
     ]
    }
   ],
   "source": [
    "print(r3(aDP), nDistricts, statePop, statePop/aDP, trueStatePop)\n",
    "HDweight = [0 for t in range(nHDs)]\n",
    "for t in populatedTractList:\n",
    "    HDweight[t] = tractPop[t] / trueStatePop #skipping the cutList tracts\n",
    "print(statePop,np.sum([tractPop[t] for t in populatedTractList]), np.sum(HDweight)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "dac2348a-060a-40a9-beeb-02ff70ec1aa1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RUN FOR ALL STATES.for extended peninsulas, need to broaden the 'neighborCountyList' to include all co-squished counties' neighbors\n"
     ]
    }
   ],
   "source": [
    "print(\"RUN FOR ALL STATES.for extended peninsulas, need to broaden the 'neighborCountyList' to include all co-squished counties' neighbors\")\n",
    "opt2nbrCtyList = [neighborCountyList[c].copy() for c in range(nCounties)]\n",
    "for i in range(nClips):\n",
    "    cList = toSquishCountiesList[i]\n",
    "    for c in cList:\n",
    "        for cc in cList:\n",
    "            for ccc in neighborCountyList[cc]:\n",
    "                if ccc not in opt2nbrCtyList[c] and ccc != c:\n",
    "                    opt2nbrCtyList[c].append(ccc)\n",
    "#for c in range(nCounties):\n",
    "#    for cc in opt2nbrCtyList[c]:\n",
    "#        plotPoly(countyGeom[cc])\n",
    "#    plotCenter(c,countyGeom[c])\n",
    "#    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "3873aaa2-0c39-4ac0-99c3-92dd7c18c555",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\n",
      "For each Home District, we will consider a wedge as one-from-full when it is within 3247.371 of targetWedgePop\n",
      "I am working on HD number 0 of 2666 HDs.  Elapsed sec = 0\n",
      "I am working on HD number 412 of 2666 HDs.  Elapsed sec = 121\n",
      "I am working on HD number 910 of 2666 HDs.  Elapsed sec = 248\n",
      "I am working on HD number 1310 of 2666 HDs.  Elapsed sec = 371\n",
      "I am working on HD number 1759 of 2666 HDs.  Elapsed sec = 504\n",
      "I am working on HD number 2174 of 2666 HDs.  Elapsed sec = 624\n",
      "838.939 seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of vtd usage.\n",
      "vtd avg and sd usage are 0.9976 0.11551\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are your HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing option 2 .......\n",
    "# BELOW modified Dec23 to use inter-unit distances and angles, (counties still wedgeIntersxn) otherwise similar to HD2\n",
    "# --THIS ESSENTIALLY TAKES THE ORIGINAL TRACT-BASED HD centerpoints, and redraws HD2 districts after convexifying corners and convex_hull\n",
    "print(\"Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\") \n",
    "#this is a hybrid of HD2 and the organic code, in that all wedge tracts must be in a chain of neighboring counties\n",
    "#General sequence: draw 4 equi-angle wedges with random starting orientation.  If not all can fill a quarter aDP ...\n",
    "# ... find the closest map boundary point to the tract center point in the shortest wedge.  Orient the 0th wedge to face this point\n",
    "# ... determine the \"maxWedgePop\" for this short wedge and the other three wedges extended past the boundary\n",
    "# ...  if this results in only one short wedge, or opposing short wedges, adjust wedge angles\n",
    "# Regardless of whether we re-oriented or adjusted angles, compute each wedgePop for infinite radius\n",
    "#   ... then adjust other targetWedgePops if some found to be short.\n",
    "#   ... for non-shorted wedges, use bisection method to adjust radius to meet targetWedgePop\n",
    "#   ... once total HDpop within tolerance, add/subtract a tract fraction to fulfill HDpop\n",
    "#  create a list of fully used tracts per HD, save the tract# of the split tract and its fractional use\n",
    "#  Compute tractUse across all HDs at the end from the tractUsageLists.  Defer patching and partisan calcs to another code\n",
    "\n",
    "pi=3.1415926536\n",
    "#MAPhull = MAP.convex_hull #used for exitAngle calc.  Defined in an above block to allow user modification\n",
    "nWedges = 4  #number of wedges per home district polygon  \n",
    "avgWedgeAngle = 2.*pi / nWedges\n",
    "angle, angle2, wedgePoly = [0.]*nWedges, [0.]*nWedges, [dummyPoly]*nWedges  #start and stop angle of each wedge\n",
    "pt1, pt2, pt3 = [Point(0,0)]*nWedges, [Point(0,0)]*nWedges, [Point(0,0)]*nWedges #these four define the polygon wedge for a growing home district\n",
    "tractUse = [0.] * nHDs  #this will store how much we use this tract in ALL HD's vs. expectation\n",
    "HDtractList = [list()]*nHDs\n",
    "splitTractNo = [-999]*nHDs  #the tract that is only partially used to finish each HD\n",
    "splitTractUse = [0.]*nHDs  #and this is what fraction of the split tract is included\n",
    "HDvPop = [0.]*nHDs\n",
    "#HDweight = [tractPop[t] / (statePop - excludedPop) for t in range(nTracts)]  #relative weight of each drawn HD\n",
    "HDPoly1 = [dummyPoly]*nHDs  #final 4-wedge shape, unionized from blockgroups / tracts\n",
    "HDarea = [0.]*nHDs  #geographical area of each home district (after boundary trim)\n",
    "HDradius = [[0.]*nWedges for t in range(nHDs)] #final wedge length for each Home District wedge\n",
    "HDangle = [[0.]*nWedges for t in range(nHDs)] #final starting angle for each HD wedge\n",
    "angle0 = [-999.] * nHDs  #orientation of 0th wedge.  Random except re-oriented if we are near-boundary\n",
    "avgTractPop = statePop/len(populatedTractList)\n",
    "tolerPops = [0.8 * avgTractPop, 0.5 * np.max(tractPop)]  #threshold gap before adding one more unit to a wedge \n",
    "tolerPop = tolerPops[0]\n",
    "print(\"For each Home District, we will consider a wedge as one-from-full when it is within\",r3(tolerPops[0]),\"of targetWedgePop\")\n",
    "tractPrintInterval = 400  #for tracking progress\n",
    "levelL = 0.36 #sqrt(pop) for angle=std  These two control distortion in wedge angles relative to wedgePop shortness\n",
    "maxAngleRatio = 1.9  #for tightening tract weighting near boundaries  #HD2\n",
    "maxAngle = 1.8*pi/2. # limit to avoid wedges too close to half a pie\n",
    "minAdjRatio = 0.5  #min ratio of pop of adjacent wedge (to min wedge) to targetWedgePop to not consider this a corner HD\n",
    "maxUncap = 0.5 #the max ratio of uncaptured pop in a maxWedge vs. target wedge pop that we will not stretch to include (7/23)\n",
    "oppWt = 0.0    #the fraction of gap between normal targetWedgePop and the minWedgePop that we allow the opposite wedge to add to tgtPop = minWedgePop\n",
    "maxWedgePop = [0.] * nWedges  #wedge pop if we explode wedge to maximum radius\n",
    "printDebug = \"no\"\n",
    "codeStartTime = time.time()\n",
    "hdCPpop = [HDweight[t] * statePop for t in range(nHDs)]\n",
    "countyHDlist = [list() for c in range(nCounties)]\n",
    "for t in populatedTractList:\n",
    "    countyHDlist[HDcountyNo[t]].append(t)\n",
    "\n",
    "for kkkj, t in enumerate(populatedTractList):  #range(nTracts) : #loop on each tract. \n",
    "    hC = HDcountyNo[t]     #this tract's home county\n",
    "    HDtractList[t] = [t] #seed the list of tracts in this HD\n",
    "    wedgeList = [list() for w in range(nWedges)]   #list of each wedge's tracts, excluding home tract\n",
    "    barredList = list()  #list of wedge numbers for which we are barred from altering their targetWedgePops\n",
    "    if (kkkj % tractPrintInterval) == 0 : \n",
    "        print(\"I am working on HD number {0} of {1} HDs.  Elapsed sec = {2}\".format(t,nHDs,int(time.time()-codeStartTime) ) )  \n",
    "    nActiveWedges = nWedges #active wedges have not run over boundary\n",
    "    wedgePop = [0.]*nWedges\n",
    "    targetWedgePop = [aDP / nWedges]*nWedges  #at beginning, split districtPop equally among wedges\n",
    "    \n",
    "    angle0[t] = random.uniform(0,2.*pi)  #imparts random orientation to the midangle of our starting wedge\n",
    "    wedgeAngle = [avgWedgeAngle for w in range(nWedges) ] #reset to equi-angle when starting each tract\n",
    "    for nW in range(nWedges-1):\n",
    "        wedgeAngle[nW] += random.uniform(-0.0001,0.0001)  #this wiggle solves a later indexing ambiguity for corner tracts\n",
    "    wedgeAngle[nWedges-1] = 2.*pi - (np.sum(wedgeAngle) - wedgeAngle[nWedges-1] ) #squaring up to 2pi total\n",
    "    startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "    for nW in range(1,nWedges):\n",
    "        startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "    endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "    #  TRIAL LOOP TO SEE WHICH WEDGES CAN FILL TO TARGET POP w/equiangle wedges\n",
    "    maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]    \n",
    "    maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "    willFill = [0] * nWedges #would this wedge meet its target with infinite radius?\n",
    "    for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "        iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "        #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList) \n",
    "        nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "        maxWedgePop[nW] += (iCP + nonCP)\n",
    "        wedgeList[nW] = Li + Ln\n",
    "        if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "            willFill[nW] = 1\n",
    "     \n",
    "    if np.sum(willFill) < nWedges:  #at least one wedge couldn't reach its wedgePop target (went over boundary) ...\n",
    "        minW = maxWedgePop.index(np.min(maxWedgePop)) #.. so we will orient the 0th wedge to face the shortest wedgePop's closest boundary\n",
    "        exitAngle = getExitAngle(hdCP[t],maxWedgePoly[minW], MAPhull, startAngle[minW], endAngle[minW])\n",
    "        angle0[t] = exitAngle - 0.5*(2.*pi / nWedges)  #Now reset all angles based on new starting orientation.  All wedge angles still equal\n",
    "        startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "        for nW in range(1,nWedges):\n",
    "            startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "        endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "        maxWedgePoly = [buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]\n",
    "        \n",
    "        willFill = [0]*nWedges\n",
    "        #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation (wedge angles still constant)\n",
    "        maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop        \n",
    "        for nW in range(nWedges):   #... then add in-county and nonCounty wedge Pop from contiguous chain of counties\n",
    "            iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "            #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "            nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                    opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "            maxWedgePop[nW] += (iCP + nonCP)\n",
    "            wedgeList[nW] = Li + Ln\n",
    "            if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                willFill[nW] = 1       \n",
    "    \n",
    "    if np.sum(willFill) < nWedges:  #check if we need to modify wedge angles after possible re-orientation.  \n",
    "        # If so, re-draw maxWedgePoly's, re-calc maxWedgePops\n",
    "        nUnfilledWedges = nWedges - np.sum(willFill)\n",
    "        isChange, newInclA = getNewAngles(maxWedgePop, targetWedgePop, aDP, levelL, minAdjRatio, maxAngle, maxAngleRatio, nUnfilledWedges )\n",
    "        if isChange: #no longer equi-angle\n",
    "            newStartAngle = [0.5*(startAngle[nW]+endAngle[nW]) - 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            newEndAngle =   [0.5*(startAngle[nW]+endAngle[nW]) + 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            startAngle, endAngle, wedgeAngle = newStartAngle.copy(), newEndAngle.copy(), newInclA.copy()\n",
    "            maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], \n",
    "                                        maxD/math.cos(0.5*wedgeAngle[nW]), xScale ) for nW in range(nWedges) ]\n",
    "            willFill = [0]*nWedges\n",
    "            #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation and new wedge angles\n",
    "            maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "            for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "                iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])                \n",
    "                #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "                nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                        opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "                maxWedgePop[nW] += (iCP + nonCP)\n",
    "                wedgeList[nW] = Li + Ln\n",
    "            minW = wedgeAngle.index(np.max(wedgeAngle)) #should be 0th wedge, but playing it safe.  This is the 1st wide-angle wedge ..\n",
    "            oppW = int(int(minW+nWedges/2)%nWedges)   #and its opposite\n",
    "            if maxWedgePop[minW] > maxWedgePop[oppW] and maxWedgePop[oppW] < aDP / nWedges:  #minW and oppW are flipped after inclA adjmt\n",
    "                oppW = minW\n",
    "                minW = int(int(minW+nWedges/2)%nWedges)\n",
    "            if maxWedgePop[minW] < targetWedgePop[oppW]:  #we need to constrain oppW in this HD2 implementation; redistribute tgt to adjacents\n",
    "                maxNonOppW = np.sum(maxWedgePop) - maxWedgePop[oppW] #...but only if other wedges can pick up slack; need to check\n",
    "                minOppWedgePop = aDP - maxNonOppW  #cannot set oppW target below this or we won't reach aDP across all wedges\n",
    "                barredList = [oppW]\n",
    "                targetWedgePop[oppW] = max(minOppWedgePop, maxWedgePop[minW] + oppWt * (targetWedgePop[oppW] - maxWedgePop[minW]) )\n",
    "                tWPgap = aDP / float(nWedges) - targetWedgePop[oppW] \n",
    "                for nW in range(nWedges):\n",
    "                    if nW != minW and nW != oppW:\n",
    "                        targetWedgePop[nW] += tWPgap/float(nWedges - 2.)  #if oppW target is limited, allot to adjacent wedges\n",
    "            for nW in range(nWedges):\n",
    "                if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                    willFill[nW] = 1  \n",
    "    \n",
    "    if abs(np.sum(targetWedgePop) / aDP - 1.) > 0.001:\n",
    "        raise Exception(\"FAIL! Our target wedgepops\",targetWedgePop, np.sum(targetWedgePop),\"no longer add up to\",aDP)\n",
    "    \n",
    "    if np.sum(willFill) == nWedges:  #all wedges will fill.  Will any leave a small near-boundary remnant?  If so, pick up smallest remnant\n",
    "        remnantWedgePopFrac = [ ( maxWedgePop[w] - targetWedgePop[w] )/targetWedgePop[w] for w in range(nWedges) ]\n",
    "        if np.min(remnantWedgePopFrac) < maxUncap :  #lessen tWP's of *adjacent* wedges, then increase this wedge's target --> max\n",
    "            minW = remnantWedgePopFrac.index(np.min(remnantWedgePopFrac))\n",
    "            oppW = int((minW+nWedges/2)%nWedges)\n",
    "            #print(\"filling to boundary for tract,wedge, tWP, mWP =\",t,minW, r3(targetWedgePop[minW]), maxWedgePop[minW])\n",
    "            for nW in range(nWedges):\n",
    "                if nW != minW and nW != oppW:\n",
    "                    targetWedgePop[nW] -= (remnantWedgePopFrac[minW] * targetWedgePop[minW] ) / (nWedges - 2.)\n",
    "            targetWedgePop[minW] = maxWedgePop[minW]\n",
    "            #       OK, READY TO SOLVE FOR NON-FILLED WEDGE SIZES once we adjust targets for unfilled wedges\n",
    "    #print(t,\" prior to rebalanceTWP call, mWPs, tWPs are\",maxWedgePop, targetWedgePop)\n",
    "    targetWedgePop, willFill = rebalanceTWPs(maxWedgePop, targetWedgePop, barredList)\n",
    "    #if np.max(targetWedgePop) - np.min(targetWedgePop) > 0.02 * aDP: #debug\n",
    "    #    print(\"for tract\",t,\",  After rebalancing but before tweaks for blocky pop adds: willFill, targetWedgePops and maxWedgePops are ...\")\n",
    "    #    for w in range(nWedges):\n",
    "    #        print(w, willFill[w],r3(targetWedgePop[w]),int(maxWedgePop[w]) )\n",
    "    for w in range(nWedges):  #WHEW!  WE CAN FINALLY ASSIGN ALL WEDGES' POPS AND TRACTLISTS\n",
    "        loop = 0\n",
    "        if willFill[w] == 0:  #wedge is maxed out\n",
    "            wedgePop[w] = maxWedgePop[w]\n",
    "            #wedgeList[w] = ...  #we already captured this list = maxWedge list\n",
    "            HDradius[t][w] = maxD/math.cos(0.5*wedgeAngle[w])\n",
    "        else:  #need to solve for wedge radius to meet targetPop.  Use bisection as scipy minimize no faster\n",
    "            HDcpWP = hdCPpop[t] * wedgeAngle[w]/(2.*pi)\n",
    "            nonHDcpTWP = targetWedgePop[w] - HDcpWP\n",
    "            #wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeB(nontractTWP,t,hC,maxWedgePoly[w],tolerPop,tractCP, tractPop,\n",
    "            #                                                        countyNo,countyTractList,countyGeom, neighborCountyList,uuDist[t])\n",
    "            wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeC(nonHDcpTWP,t,hC, maxWedgePoly[w],startAngle[w], endAngle[w], tolerPop,\n",
    "                                                                    hdCP, hdCPpop,HDcountyNo, countyHDlist,countyGeom,\n",
    "                                                                    opt2nbrCtyList,uuDist[t],uuAngle[t])\n",
    "            popGap = nonHDcpTWP - wedgePop[w]  #gap between target and solved wedge pop; can be negative\n",
    "            notYetAdjusted, nextW = True, w+1  #looking to adjust a later wedge's target pop to minimize drift in total HD pop\n",
    "            while notYetAdjusted and nextW < nWedges:\n",
    "                if willFill[nextW] == 1 and maxWedgePop[nextW] > targetWedgePop[nextW] + popGap :  #can accommodate\n",
    "                    targetWedgePop[nextW] += popGap\n",
    "                    notYetAdjusted = False\n",
    "                nextW +=1          \n",
    "\n",
    "        HDangle[t][w] = startAngle[w]\n",
    "    #print(t,\"tract. After TWP adjustment, targetWedgePops are\",targetWedgePop)\n",
    "    HDtractList[t] = [t]\n",
    "    totPop = hdCPpop[t]\n",
    "    for nW in range(nWedges):\n",
    "        for tt in wedgeList[nW]:\n",
    "            HDtractList[t].append(tt)  #building the list of tracts in the Home District  (we'll keep up with below changes)\n",
    "            totPop += hdCPpop[tt]\n",
    "    offsetPop = totPop - aDP  #we have solved for all wedge radii to get each within one tractPop of target ... \n",
    "    HDvPop[t] = totPop\n",
    "    #if offsetPop > 0:   #... now include a splitPoly to nail the avg District Pop\n",
    "    #    isOver = True  #we slightly overshot.  ID the farthest-away tract for split-jettison\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], hdCPpop, neighborList)\n",
    "    #    HDvPop[t] = totPop - (1. - splitTractUse[t]) * tractPop[splitTractNo[t]]\n",
    "    #if offsetPop < 0:\n",
    "    #    isOver = False  #we have undershot.  Pick up the nearest contiguous tract that can be split to fill the gap\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], tractPop, neighborList)\n",
    "    #    HDtractList[t].append(splitTractNo[t])\n",
    "    #    HDvPop[t] = totPop + splitTractUse[t]*tractPop[splitTractNo[t]]       \n",
    "    #if abs(1. - HDvPop[t]/aDP) > 0.005 :  #something went wrong with pop assignation for this HD\n",
    "    #    print(\"WARNING! Total Home District pop was\",HDvPop[t],\"vs target\",aDP,\"for tract\",t)   ##### hdCP topology not yet known; skip partial\n",
    "        \n",
    "    HDPoly1[t] = dummyPoly  #tractGeom[t] #skip constructing the HD poly shape.  Do compute area of the Home District, including final partial\n",
    "    HDarea[t] = 0.\n",
    "    for tt in HDtractList[t]:\n",
    "        if tt == splitTractNo[t]:\n",
    "            tractUse[tt] += nDistricts * HDweight[t] * splitTractUse[t] \n",
    "            #HDarea[t]   += tractArea[tt] * splitTractUse[t]  #these are original (nonsquished) areas\n",
    "            \n",
    "        else:\n",
    "            tractUse[tt] += nDistricts * HDweight[t]\n",
    "            #HDarea[t]    += tractArea[tt]\n",
    "            #HDPoly1[t] = HDPoly1[t].union(tractGeom[tt])\n",
    "    HDPoly1[t] = buildPoly(hdCP[t],HDradius[t], HDangle[t] )\n",
    "    #HDarea[t] = HDPoly1[t].area + splitTractUse[t] * tractArea[splitTractNo[t]]  \n",
    "    #if splitTractUse[t] > 0.5:\n",
    "    #    HDPoly1[t] = HDPoly1[t].union(tractGeom[splitTractNo[t]])\n",
    "                          \n",
    "    #ALL DONE ESTABLISHING THE FINAL HDTRACTLIST.  FINALIZE STATS\n",
    "totalTime = time.time() - codeStartTime\n",
    "print(r3(totalTime),\"seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of vtd usage.\")\n",
    "n_bins=50\n",
    "popTractUse, plotWts = [tractUse[t] for t in populatedTractList], [HDweight[t] for t in populatedTractList]\n",
    "\n",
    "origHDuseAvg, origHDuseSD = getWeightedAvgAndSD(tractUse,HDweight)\n",
    "print(\"vtd avg and sd usage are\",r5(origHDuseAvg), r5(origHDuseSD) )\n",
    "\n",
    "fig, ax = plt.subplots(tight_layout=True)\n",
    "ax.hist(popTractUse, bins=n_bins, weights=plotWts)\n",
    "plt.show()\n",
    "HDvPop = [np.sum([hdCPpop[tt] for tt in HDtractList[t]]) for t in range(nHDs)]\n",
    "plt.scatter([hdCPpop[t] for t in populatedTractList],[HDvPop[t] for t in populatedTractList] )\n",
    "print(\"here are your HD pops\")\n",
    "plt.show()\n",
    "origHDHDtractList = [HDtractList[t].copy() for t in range(nHDs)] #save for posterity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "37c238bb-b340-431b-ad11-95e4409d9699",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now we will write the polygon-based results to a file\n"
     ]
    }
   ],
   "source": [
    "#last block of option 2 (i.e. generating polygonal HDs from scratch)\n",
    "print(\"Now we will write the polygon-based results to a file\")\n",
    "tractNo = [t for t in range(nHDs) ]\n",
    "HDangle0 = [HDangle[t][0] for t in range(nHDs) ]\n",
    "HDangle1 = [HDangle[t][1] for t in range(nHDs) ]\n",
    "HDangle2 = [HDangle[t][2] for t in range(nHDs) ]\n",
    "HDangle3 = [HDangle[t][3] for t in range(nHDs) ]\n",
    "HDradius0 = [HDradius[t][0] for t in range(nHDs)]\n",
    "HDradius1 = [HDradius[t][1] for t in range(nHDs)]\n",
    "HDradius2 = [HDradius[t][2] for t in range(nHDs)]\n",
    "HDradius3 = [HDradius[t][3] for t in range(nHDs)]\n",
    "hdCPx, hdCPy =   [hdCP[t].x for t in range(nHDs)], [hdCP[t].y for t in range(nHDs)]\n",
    "\n",
    "paramList = [\"STATE\",\"statePop\",\"nDistricts\",\"nHDs\",\"nWedges\",\"popn-toler\",\"levelL\", \"maxAngleRatio\",\n",
    "             \"maxAngle\",\"minAdjRatio\",\"maxUncap\", \"oppWt\", \"calc sec\",\"xScale\",\"outputs...\"]\n",
    "paramValues = [STATE,statePop, nDistricts, nHDs, nWedges, tolerPop, levelL, maxAngleRatio, maxAngle, minAdjRatio, maxUncap,\n",
    "               oppWt, totalTime, xScale, -777]\n",
    "for i in range(nHDs-len(paramList)):\n",
    "    paramList.append(\".\")\n",
    "    paramValues.append(-99)  #so all columns have same number of entries, even the parameter list\n",
    "HDdf = pd.DataFrame( {\"paramList\": paramList,\"paramValues\":paramValues,\"countyNo\":HDcountyNo,\n",
    "                    \"tractNo\":tractNo,\"centroid x\":hdCPx,\"centroid y\":hdCPy,\"tractPop\":hdCPpop,\n",
    "                    \"HDweight\":HDweight,\"HD-pop\":HDvPop,\"HDarea\":HDarea, \"countyNo\":countyNo,\n",
    "                    \"startAngle\":angle0,\"HDangle0\":HDangle0,\"HDangle1\":HDangle1,\"HDangle2\":HDangle2,\"HDangle3\":HDangle3,\n",
    "                    \"HDradius0\":HDradius0,\"HDradius1\":HDradius1,\"HDradius2\":HDradius2, \"HDradius3\":HDradius3,\"tractUse\":tractUse,\n",
    "                    \"splitTractNo\":splitTractNo,\"splitTractUse\":splitTractUse,\"HDtractList\":HDtractList} ) \n",
    "\n",
    "#outname = STATE+str(int(nTracts))+\"HD2Bnopatch\"+str(int(nDistricts))+\"nW4.csv\"  #solveWedgeB\n",
    "outname = STATE+str(int(nHDs))+\"convexHD2_\"+str(int(nDistricts))+\"nW4_19Apr.csv\"  #solveWedgeC\n",
    "#outname = STATE+str(int(nTracts))+\"HD2Buutpatch\"+str(int(nDistricts))+\"nW4.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "HDdf.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "075013a3-f3ee-4a44-ac4a-27a7492e027a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "6e7e8ccd-8e11-4d6d-970d-b059401e0a3b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the original HD polygon shape assignment csv, e.g. ./2024state_HD_output/FL7211convexHD2_26nW4_03Mar.csv or ./state_HD_output/AZ9HD1tol0.005nW425Mar.csv ./2024state_HD_output/NC2666convexHD2_13nW4_19Apr.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I have read back in the original HD shapes\n",
      "Ready to capture unit centroids based on these HD poly shapes; see next block\n"
     ]
    }
   ],
   "source": [
    "#OPTION 2 --> 1 - we already have an ensemble of HDpoly's and their weights (from running option 2 above)\n",
    "#read them in\n",
    "#determine each cluster's required area fraction capture to get 1.00 cluster use across the HD set\n",
    "#then determine total pop (including cluster in/out) for each HD, and total unit use\n",
    "#then move into triage\n",
    "infilename = input(\"enter the original HD polygon shape assignment csv, \"+ \n",
    "                   \"e.g. ./2024state_HD_output/FL7211convexHD2_26nW4_03Mar.csv or ./state_HD_output/AZ9HD1tol0.005nW425Mar.csv\")\n",
    "shapeDF = pd.read_csv(infilename)\n",
    "HDvPop = shapeDF[\"HD-pop\"].to_list()\n",
    "HDweight = shapeDF['HDweight'].to_list() #shapeDF['HDwt'].to_list() or #shapeDF['HDweight'].to_list()\n",
    "HDarea = shapeDF['HDarea'].to_list()\n",
    "#tractPop = shapeDF['tractPop'].to_list()   #we will use vtd-mapped pops instead\n",
    "nHDs = len(shapeDF)\n",
    "hdCPx = shapeDF['centroid x'].to_list()   #note: these may be translated from outcroppings into a convex representation of the map\n",
    "hdCPy = shapeDF['centroid y'].to_list()\n",
    "hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs) ]\n",
    "HDradius0 = shapeDF['HDradius0'].to_list()\n",
    "HDradius1 = shapeDF['HDradius1'].to_list()\n",
    "HDradius2 = shapeDF['HDradius2'].to_list()\n",
    "HDradius3 = shapeDF['HDradius3'].to_list()\n",
    "HDangle0 = shapeDF['HDangle0'].to_list()\n",
    "HDangle1 = shapeDF['HDangle1'].to_list()\n",
    "HDangle2 = shapeDF['HDangle2'].to_list()\n",
    "HDangle3 = shapeDF['HDangle3'].to_list()\n",
    "HDradius, HDangle = list(), list()\n",
    "for t in range(nHDs):\n",
    "    HDradius.append( [HDradius0[t],HDradius1[t],HDradius2[t],HDradius3[t] ] )\n",
    "    HDangle.append(  [HDangle0[t], HDangle1[t], HDangle2[t], HDangle3[t]  ] )\n",
    "print(\"I have read back in the original HD shapes\")\n",
    "popHDlist = list()\n",
    "HDpoly = [dummyPoly for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    if HDweight[t] > 0.000001:\n",
    "        popHDlist.append(t)\n",
    "        HDpoly[t] = buildArcPoly(hdCP[t],HDradius[t], HDangle[t], xScale)\n",
    "if \"countyNo\" in shapeDF.columns.values:  #\"pigs\" == \"can fly\":\n",
    "    HDcountyNo = shapeDF['countyNo'].to_list()\n",
    "else:\n",
    "    print(\"County numbers not in input file. Now I will assign each HD center to a county based on the county geoms\")\n",
    "    HDcountyNo = [-999]*nHDs\n",
    "    for t in popHDlist:\n",
    "        for c, geom in enumerate(countyGeom):\n",
    "            if geom.contains(hdCP[t]):\n",
    "                HDcountyNo[t] = c\n",
    "                break\n",
    "    unassignedList = list()\n",
    "    for t in popHDlist:\n",
    "        if HDcountyNo[t] == -999:\n",
    "            unassignedList.append(t)\n",
    "    if len(unassignedList) > 0:\n",
    "        print(\"I found\",len(unassignedList),\"populd HDs whose centers fall outside vtd-based county lines.  Assign to closest county\")\n",
    "        for t in unassignedList:\n",
    "            minDist = maxD\n",
    "            for c in range(nCounties):\n",
    "                dist = countyGeom[c].distance(hdCP[t])\n",
    "                if dist < minDist:\n",
    "                    minDist = dist\n",
    "                    HDcountyNo[t] = c\n",
    "    if len(unassignedList) > 0:\n",
    "        if len(unassignedList) > 20:\n",
    "            print(\"  (too many to plot individually)\")\n",
    "        else:\n",
    "            print(\"FYI, here are those manually assigned HDcenters to their counties\")\n",
    "            for t in unassignedList:\n",
    "                print(t,HDweight[t],\" is the HD row and its weight in the ensemble\")\n",
    "                plotPoly(hdCP[t].buffer(0.1))\n",
    "                plotCenter(int(HDvPop[t]),hdCP[t],6)\n",
    "                plotPoly(countyGeom[HDcountyNo[t]])\n",
    "                plotPoly(MAP,0.2)\n",
    "                plt.show()\n",
    "print(\"Ready to capture unit centroids based on these HD poly shapes; see next block\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "3f0f8434-5f7a-41d1-bd86-07ec230b4aef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now, let me renormalize the HDweights if there were cut districts\n",
      "our HDweight sum was 0.9999999999999029 but is now 1.0\n"
     ]
    }
   ],
   "source": [
    "print(\"now, let me renormalize the HDweights if there were cut districts\")\n",
    "sumWt = np.sum(HDweight)\n",
    "HDweight = [HDweight[t]/sumWt for t in range(nHDs) ]\n",
    "\n",
    "print(\"our HDweight sum was\",sumWt,\"but is now\",np.sum(HDweight))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af22eba0-8e05-43e7-b96b-6aedab016957",
   "metadata": {},
   "outputs": [],
   "source": [
    "#see early states for continuing w/option 1.  NC and later use option 3 ...."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "8d5f678f-c2df-4ee7-bafe-fd75ba2cb42e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "alternate to above = 'option3' - create HDunitLists based on each HD's tractList\n"
     ]
    }
   ],
   "source": [
    "#OPTION 3 \n",
    "print(\"lead = 'option3' - create HDunitLists based on each HD's tractList, with in-out for multiVTD units\")\n",
    "HDtractListString = shapeDF[\"HDtractList\"]\n",
    "HDtractList = [ast.literal_eval(HDtractListString[t]) for t in range(nHDs)]\n",
    "nCCBs = len(CCBlist)\n",
    "CCBpopFrac = [[0. for j in range(nCCBs) ]  for t in range(nHDs)]\n",
    "\n",
    "unitParentVTDno = [-999 for u in range(nUnits)]\n",
    "for u in range(nUnits):    \n",
    "    if allUnits[u] %1 == 0:\n",
    "        v = allUnits[u]\n",
    "        unitParentVTDno[u] = parentVTDno[v]\n",
    "              "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "ec034144-b3dc-4b72-9350-6d85cabcb8a2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now assigning each HD's units (excluding CCB's) based on the captured whole vtd's\n",
      "working on vtd --> unit conversion for HD 1 last HD had pop 799581.0\n",
      "working on vtd --> unit conversion for HD 1001 last HD had pop 810155\n",
      "working on vtd --> unit conversion for HD 2001 last HD had pop 673682.0\n"
     ]
    }
   ],
   "source": [
    "print(\"Continuing option3, now assigning each HD's units (excluding CCB's) based on the captured whole vtd's\" )\n",
    "HDunitList = [ list() for t in range(nHDs) ]\n",
    "for t in range(nHDs):\n",
    "    if t %1000 == 1:\n",
    "        print(\"working on vtd --> unit conversion for HD\",t,\"last HD had pop\",r3( np.sum([unitPop[u] for u in HDunitList[t-1]]) ) )\n",
    "    capturedCountyPop = [0. for c in range(nCounties)]\n",
    "    capturedCCBpop = [0. for i in range(nCCBs)]\n",
    "    for v in HDtractList[t]:\n",
    "        c = HDcountyNo[v]\n",
    "        if c in range(nCounties):  #we assigned countyno = -999 to unpopulated tracts\n",
    "            if c in unitCounties:\n",
    "                capturedCountyPop[c] += tractPop[v]\n",
    "            elif c in allFusedCounties:\n",
    "                for i, L in enumerate(CCBlist):\n",
    "                    if c in L:\n",
    "                        capturedCCBpop[i] += tractPop[v]\n",
    "            else:  #this vtd not part of a unit or fused county.  Could be split into fragments\n",
    "                for u in countyUnitList[c]:\n",
    "                    if unitParentVTDno[u] == v :  #we assign all units = vtd fragments from this HDTL-captured vtd\n",
    "                        HDunitList[t].append(u)\n",
    "    for c in unitCounties:\n",
    "        if capturedCountyPop[c] > 0.5 * countyPop[c]:\n",
    "            HDunitList[t].append(allUnits.index(c+0.5))\n",
    "    for i in range(nCCBs):  #don't yet assign in/out CCBs.  We'll do so in below block\n",
    "        CCBpopFrac[t][i] = capturedCCBpop[i] / CCBpop[i]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "1494814c-7b90-425c-b8b1-3a2006bdeb2d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option 3.  Determine each CCB's use if we add it to all adjoining HDs\n",
      "CCBno 0 with pop 160963.0 would be used 1.713 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CCBno 0 with pop 160963.0 would be used 1.7130241491092142 if we added it to all adjoining districts with no 2-CCB districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Continuing option 3.  Determine each CCB's use if we add it to all adjoining HDs\")\n",
    "CCBwouldUse = [0. for i in range(nCCBs)]\n",
    "CCBaddCandidates = [list() for i in range(nCCBs)]\n",
    "for j in range(nCCBs):\n",
    "    jNo = allUnits.index(j+0.25)\n",
    "    ccbNbrSet = set(unitNbrs[jNo])\n",
    "    withCCBpopRat = list()\n",
    "    for t in range(nHDs):\n",
    "        if len(ccbNbrSet.intersection(set(HDunitList[t]))) > 0:\n",
    "            CCBwouldUse[j] += HDweight[t] * nDistricts\n",
    "            CCBaddCandidates[j].append(t)\n",
    "            withCCBpopRat.append((np.sum([unitPop[u] for u in HDunitList[t]]) + CCBpop[j]) / aDP )\n",
    "    print(\"CCBno\",j,\"with pop\",CCBpop[j],\"would be used\",r3(CCBwouldUse[j]),\"if we added it to all adjoining districts\")\n",
    "    print(\"Here is the histogram of relative district pop with these added\")\n",
    "    plt.hist(withCCBpopRat,histtype=\"step\",label=\"CCB \"+str(j))\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "for j in range(nCCBs):  #this block -- preventing HDs from picking up multiple CCB's; instead, pick up the closest one  \n",
    "    jNo = allUnits.index(j+0.25)\n",
    "    for jj in range(jj+1, nCCBs):\n",
    "        jjNo = allUnits.index(j+0.25)\n",
    "        for t in CCBaddCandidates[j].copy():\n",
    "            if t in CCBaddCandidates[j]:\n",
    "                if t in CCBaddCandidates[jj].copy():\n",
    "                    dist_j, dist_jj = hdCP[t].distance(unitCP[jNo]), hdCP[t].distance(unitCP[jjNo])\n",
    "                    if dist_j > dist_jj:\n",
    "                        CCBaddCandidates[j].remove(t)  #for MN, don't allow any districts with two CCB's\n",
    "                        CCBwouldUse[j] -= HDweight[t] * nDistricts\n",
    "                    else:\n",
    "                        CCBaddCandidates[jj].remove(t)\n",
    "                        CCBwouldUse[jj] -= HDweight[t] * nDistricts\n",
    "for j in range(nCCBs):    \n",
    "    print(\"CCBno\",j,\"with pop\",CCBpop[j],\"would be used\",CCBwouldUse[j],\"if we added it to all adjoining districts with no 2-CCB districts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "0d38eb0e-b516-4fd4-bb9e-6ca0eecfa772",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option 3. Now assign CCB units.  For each, work from most to least underpopped\n",
      "final unit use of CCB 0 is 1.00264 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Continuing option 3. Now assign CCB units.  For each, work from most to least underpopped\")\n",
    "#previously, we went from most-used to least-used CCB vtds until each has unit use\")\n",
    "CCBuse = [0. for i in range(nCCBs)]\n",
    "for j in range(nCCBs):\n",
    "    postCCBaddPops = list()\n",
    "    unitNo = allUnits.index(j+0.25)\n",
    "    #ccbNbrSet = set(unitNbrs[unitNo])\n",
    "    #ccbFrac = [-1.*CCBpopFrac[t][j] for t in range(nHDs) ]  # -1 to go from most- to least-used\n",
    "    #idx = np.argsort(ccbFrac)\n",
    "    preCCBpop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in CCBaddCandidates[j]]\n",
    "    idx = np.argsort(preCCBpop)\n",
    "    i = 0\n",
    "    t = CCBaddCandidates[j][idx[i]] #idx[i]\n",
    "    while CCBuse[j] < 1.00  and i < len(CCBaddCandidates[j]) :  #and CCBpopFrac[t][j] > 0:\n",
    "        t = CCBaddCandidates[j][idx[i]] #idx[i]\n",
    "        CCBuse[j] += HDweight[t] * nDistricts\n",
    "        HDunitList[t].append(unitNo)\n",
    "        postCCBaddPops.append(np.sum([unitPop[u] for u in HDunitList[t] ]))\n",
    "        i +=1\n",
    "    unitUse[unitNo] = CCBuse[j]\n",
    "    print(\"final unit use of CCB\",j, \"is\",r5(CCBuse[j]),\"; here is a histogram of HDpop using this CCB\")\n",
    "    plt.hist(postCCBaddPops)\n",
    "    plt.axvline(aDP,ls=\"--\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf747d9c-cf6d-420e-9c3c-6723619586ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "#end of preliminaries for \"option 3\" - converting HDtractlists to unit lists instead of option 2's geometric probing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "26102ca2-79c1-48db-b873-7fa3a1553911",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "dc26d08c-a5d9-4e7e-9da5-ae98cf658a3a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the histogram of HD pops relative to aDP\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "orig unit avg and sd usage are 1.07568 0.12291\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs) ]\n",
    "print(\"Here is the histogram of HD pops relative to aDP\")\n",
    "plt.hist([HDvPop[t] / aDP for t in range(nHDs) ], bins=20, weights = HDweight, label= \"HDpop / target\" )\n",
    "plt.show()\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "53e4c298-e6cb-4fee-a511-b8f6c3940539",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "c4183011-724a-4014-8c94-f9f9382c7e75",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "above: underused < 0.5; below overused > 1.6\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Did I grossly overuse any units, or skip any live ones?\")\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < 0.5 and unitPop[u] > 5:\n",
    "        plotPoly(unitGeom[u])\n",
    "        #print(u,unitPop[u], unitUse[u])\n",
    "        #for c in range(nCounties):\n",
    "        #    if u in countyUnitList[c]:\n",
    "        #        print(u,\"is in county\",c)\n",
    "        #        print(\"its neighbor units are\",unitNbrs[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"above: underused < 0.5; below overused > 1.6\")\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 1.6:\n",
    "        plotPoly(unitGeom[u],0.3)\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "ce9292b0-7d6a-419a-9491-d0def779ad04",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are a total of 2388 populated HDs out of 2666\n"
     ]
    }
   ],
   "source": [
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if len(HDunitList[t]) > 0:\n",
    "        popHDlist.append(t)\n",
    "populatedTractList = popHDlist.copy()\n",
    "print(\"there are a total of\",len(populatedTractList),\"populated HDs out of\",nHDs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "f7f36559-7f1d-4203-8b24-0e8cc2ce1753",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this will show if we had any duplicated units in HDunitLists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"this will show if we had any duplicated units in HDunitLists\")\n",
    "excess = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    excess[t] = len(HDunitList[t]) - len(set(HDunitList[t]))\n",
    "plt.hist(excess)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "id": "27bc7f0a-d7ff-4c68-830f-29ba5013c314",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#popHDlist = populatedTractList.copy()  #somehow our popHDlist started to include the cut District HD starters\n",
    "HDunitList = [list(set(HDunitList[t])) for t in range(nHDs)]\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs)]\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "af8a4945-40c2-40df-8dd4-d516f4de2f0f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quick classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 810 time is now 25\n",
      "working on HD 1516 time is now 48\n",
      "working on HD 2286 time is now 72\n",
      "out of 2388 total HDs, there were 2247.0 contiguous and 513.0 complement-contiguous HDs\n",
      "91 HDs had both discontiguity problems, while enclave-only = 1784 and discontig only= 50\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 141 1784\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"FIND DISCO\" CODE\n",
    "print(\"quick classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%700 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,4) #,6) #6 is high (slow) to try to avoid false enclaves\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "40f06e44-45be-4a36-b62c-26698af70e06",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before addressing enclaves, let's triage the discontinuous HDs\n",
      "Now work on dropping smallish disconnected pieces that would keep us above 708363 district pop vs 745646 target\n",
      "we'll also trim any HD with total islands' pop <= 14912\n",
      "working on HD 49\n",
      "Out of 141 discontig HDs 141 had discontig HDs.\n",
      "Of these, 112 won't be under 708363 after all minor discontigys were shed, while 29 would be too underpopped if we trimmed the discontig pieces\n",
      "here is adjusted pop by original pop for those we trimmed and those we didn't (x)\n"
     ]
    },
    {
     "data": {
      "image/png": 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RERGR22IQIiIiIrfl1BIbRERE1HhsdsGBnHzkFRYjsIMeQ8M7wtPD9dbqdGUMQkRERC0gKSMXC7ZlItdSrGwLNuox796+iOsfXMsrqTHx0hgREVEzS8rIxdMbDqtCEACYLcV4esNhJGXktlDL3A+DEBERUTOy2QULtmXC0bIOldsWbMuEzc6FH5oDgxAREVEzOpCTX+1MUFUCINdSjAM5+c3XKDfGIERERNSM8gprDkENqaObwyBERETUjAI76Bu1jm4OgxAREVEzGhreEcFGPWqaJK9BxeyxoeEdm7NZbotBiIiIqBl5emgw796+AFAtDFU+n3dvX95PqJkwCBERETWzuP7BWPnIIJiM6stfJqMeKx8ZxPsINSPeUJGIiKgFxPUPxu/6mnhn6RbGIERERNRCPD00iO7ZqaWb4dZ4aYyIiIjcFoMQERERuS0GISIiInJbDEJERETkthiEiIiIyG0xCBEREZHbYhAiIiIit8UgRERERG6LQYiIiIjcFoMQERERuS0GISIiInJbDEJERETkthiEiIiIyG0xCBEREZHbYhAiIiIit+VUELLZbJgzZw7Cw8Ph4+ODnj17YuHChRARAEBZWRkSExMRGRmJdu3aISQkBI8++iguXbqkOk5+fj4SEhJgMBjg5+eHqVOn4tq1a6qaY8eO4Y477oBer0doaCiWLl1arT1btmxBREQE9Ho9IiMjsXPnTtV+EcHcuXMRHBwMHx8fxMTE4OTJk850mYiIiNowp4LQkiVLsHLlSrzzzjvIysrCkiVLsHTpUixfvhwAcP36dRw+fBhz5szB4cOH8fHHHyM7Oxv33Xef6jgJCQk4ceIEkpOTsX37duzZswfTpk1T9lutVowcORLdunVDeno6li1bhvnz52P16tVKzb59+zBhwgRMnToV3377LcaMGYMxY8YgIyNDqVm6dCnefvttrFq1CmlpaWjXrh1iY2NRXFzcoD8WERERtTHihPj4eJkyZYpq29ixYyUhIaHG1xw4cEAAyNmzZ0VEJDMzUwDIwYMHlZrPP/9cNBqNXLx4UURE3n33XfH395eSkhKlJjExUfr06aM8f/DBByU+Pl71XlFRUfLkk0+KiIjdbheTySTLli1T9hcUFIhOp5MPP/ywXv21WCwCQCwWS73qiYiIqOU58/vt1BmhYcOGISUlBd9//z0A4OjRo9i7dy9GjRpV42ssFgs0Gg38/PwAAKmpqfDz88OQIUOUmpiYGHh4eCAtLU2pGTFiBLRarVITGxuL7OxsXL16VamJiYlRvVdsbCxSU1MBADk5OTCbzaoao9GIqKgopYaIiIjcm5czxbNmzYLVakVERAQ8PT1hs9nw2muvISEhwWF9cXExEhMTMWHCBBgMBgCA2WxGYGCguhFeXujYsSPMZrNSEx4erqoJCgpS9vn7+8NsNivbqtZUPUbV1zmquVFJSQlKSkqU51arteY/BhEREbk8p84Ibd68GRs3bsQHH3yAw4cPY/369Xj99dexfv36arVlZWV48MEHISJYuXJlozW4KS1atAhGo1F5hIaGtnSTiIiIqAk5FYRmzpyJWbNmYfz48YiMjMTEiRPxwgsvYNGiRaq6yhB09uxZJCcnK2eDAMBkMiEvL09VX15ejvz8fJhMJqXm8uXLqprK53XVVN1f9XWOam40e/ZsWCwW5XH+/Pm6/yhERETkspwKQtevX4eHh/olnp6esNvtyvPKEHTy5Ens2rULnTp1UtVHR0ejoKAA6enpyrbdu3fDbrcjKipKqdmzZw/KysqUmuTkZPTp0wf+/v5KTUpKiurYycnJiI6OBgCEh4fDZDKpaqxWK9LS0pSaG+l0OhgMBtWDiIiI2jBnRmFPmjRJunTpItu3b5ecnBz5+OOPJSAgQF5++WURESktLZX77rtPunbtKkeOHJHc3FzlUXUGWFxcnAwcOFDS0tJk79690rt3b5kwYYKyv6CgQIKCgmTixImSkZEhmzZtEl9fX3nvvfeUmm+++Ua8vLzk9ddfl6ysLJk3b554e3vL8ePHlZrFixeLn5+ffPrpp3Ls2DEZPXq0hIeHS1FRUb36y1ljRERErseZ32+ngpDVapUZM2ZIWFiY6PV66dGjh7zyyitKyMnJyREADh9ffvmlcpwrV67IhAkTpH379mIwGOSxxx6TwsJC1XsdPXpUhg8fLjqdTrp06SKLFy+u1p7NmzfLLbfcIlqtVvr16yc7duxQ7bfb7TJnzhwJCgoSnU4nd999t2RnZ9e7vwxCRERErseZ32+NyM+3haZqrFYrjEYjLBYLL5MRERG5CGd+v7nWGBEREbktBiEiIiJyWwxCRERE5LYYhIiIiMhtMQgRERGR22IQIiIiIrfFIERERERui0GIiIiI3BaDEBEREbktBiEiIiJyWwxCRERE5LYYhIiIiMhtebV0A4iIiOpiswsO5OQjr7AYgR30GBreEZ4empZuFrUBDEJERNSqJWXkYsG2TORaipVtwUY95t3bF3H9g1uwZdQW8NIYERG1DsUWwHJRtSkpIxdPbzgMsVxEB1xXtpstxXh6w2EkZeQ2dyupjWEQIiKilldsATaMA9bdA1guAKi4HLZgWyZMuIKPtAuxXrtYCUPy88sWbMuEzS41HJSobgxCRETU8kquAT/9F7h6BlgXD1gu4EBOPmC5iE3ahejmkYdOsKIdipSXCIBcS3FFHVEDMQgREVHLM3YBJu8A/LsrYajsTKoSgs7aAzG+dA7M6FTtpXmFxdW2EdUXgxAREbWMG8cEGbuqwtCIrxNUISjXQQgCgMAO+uZpL7VJDEJERNT8HIwJAlARhkb+VVX6YtkzDkOQBhWzx4aGd2zixlJbxiBERETNz8GYIADAhYPAlsmq0n94v4sQXFFtq7yD0Lx7+/J+QnRTGISIiKj5ORgThMxtwPtxgL0c8PACHtoA+HdHN488bNb/FcFVwpDJqMfKRwbxPkJ00zQiwnmHNbBarTAajbBYLDAYDC3dHCIi11ZsqTgTZOzyyzbLhYoQdPXML9s8vIApSUDXX6v2F7cPw3/+Zx0Mgd15Z2mqlTO/3zwjRERETavYAuR953hMEDTAnX9WlacN+QdSS3pU3B+oygBqvV8QYgf2QnTPTgxB1Gi4xAYRETWdy5nA/00BSq8BkF/O8EzeAZiPA5/9sWKsUBWm/X/F+D0awNjl52U0ugKTdwK69oDe2DL9oDaLZ4SIiKhpXM4E/vlb4L9ZgOU8AE3FGZ6rZ4BVdwAfjldCUJlo8ETJCzhrD0Q3jzxs0i6ExnLxl2U0jF0AvRE2uyD19BV8euQiUk9f4V2l6abxjBARETW+gvPAhxOA8oqbHQoAjeU8rvsEw9OrA3RFv9wNukyAP5QswFH0QkZpD+Umih9qF2J86Rws2JaJ3/U1ITnTzMVXqdHxjBARETWuYkvF2Z6CM8omDQARwLcoF7ryQlX5K6WP4yh6AQBy0QnjS+fgrD0QV2DANfgg11KMd3afxNMbDqtCEFCxxMZTGw5j57FLTd0raqMYhIiIqPEUW4BLR4DrV6rt0tQwvnm692eqqfG56ISHSudgUuksFMIXALD2mzOo7SLYsx9+i53HuBI9OY9BiIiIGkexBfj/xgAbHwAgkA61X666Ih1wwd5JGRNUNQyZ0UkJQQBQUFRW67HsAjzzwc/jiYicwCBERESNo/Ju0bYSoNCMy9Yi5Nr9HZaKAJ00hQA0qjBkQvUzSX6+3vVuwoJtmRxATU5hECIioptTcB64kF4xs2tKEizaIACASVMAA645fIlGUxGGunr8iMowdAUG/ASfarWPDQuvd1NyLcU4kJNfdyHRzxiEiIioYYotwKH1wPLBwPsjgQsH8dpeC+Ksrypngtp51HxJqzIMFUKPSaWJqjFBlZ64IxzP3tULwcb6rzCfV1hcdxHRzxiEiIjIeQXngZXDge3PVVwKs5fDtiYWB77ehc64CiMs1V5yVdpV2yYAFpROxGl0rRaCAOB/v85BcqYZ8+7tW++mBXaof2gicioI2Ww2zJkzB+Hh4fDx8UHPnj2xcOFCVF2uTEQwd+5cBAcHw8fHBzExMTh58qTqOPn5+UhISIDBYICfnx+mTp2Ka9fUp0+PHTuGO+64A3q9HqGhoVi6dGm19mzZsgURERHQ6/WIjIzEzp07Vfvr0xYiInJSwXng/VGA5ZyySQB4ig3/0s3HJ7q58PWwV3tZsXirxgzZBTgpITiBnrW+XeV9hN59eCBqW1lDg4r7Cg0N7+hsj8iNORWElixZgpUrV+Kdd95BVlYWlixZgqVLl2L58uVKzdKlS/H2229j1apVSEtLQ7t27RAbG4vi4l9OVSYkJODEiRNITk7G9u3bsWfPHkybNk3Zb7VaMXLkSHTr1g3p6elYtmwZ5s+fj9WrVys1+/btw4QJEzB16lR8++23GDNmDMaMGYOMjAyn2kJERE4otgD/byxgPa/aXHmfIC+NHZ5VwopNgB+lAwAg2KMAgCDX7o8S8US2dMVkB5fDqhL8Mu7nnl+F4J0JgxzWVb7lvHv7ch0ycopTq8///ve/R1BQENasWaNsGzduHHx8fLBhwwaICEJCQvDSSy/hT3/6EwDAYrEgKCgI69atw/jx45GVlYW+ffvi4MGDGDJkCAAgKSkJ99xzDy5cuICQkBCsXLkSr7zyCsxmM7RaLQBg1qxZ2Lp1K7777jsAwEMPPYSffvoJ27dvV9py++23Y8CAAVi1alW92lIXrj5PRHQDy0Vg9Z3V1gdzpMQOPFD6F/wX/tiiXfDzwGgg1+6H50ufQSZ61BqCqnpr/ACMHlCxan1SRi7vME21arLV54cNG4aUlBR8//33AICjR49i7969GDVqFAAgJycHZrMZMTExymuMRiOioqKQmpoKAEhNTYWfn58SggAgJiYGHh4eSEtLU2pGjBihhCAAiI2NRXZ2Nq5evarUVH2fyprK96lPW4iIyEnGLsC0r4B2ness9dR4QIOKGyQ+UDoPF+wBKBEvXIa/UyEIUI/7iesfjL2Jd+HDJ27HW+MH4MMnbsfexLsYgqhBnFprbNasWbBarYiIiICnpydsNhtee+01JCQkAADMZjMAICgoSPW6oKAgZZ/ZbEZgYKC6EV5e6Nixo6omPDy82jEq9/n7+8NsNtf5PnW15UYlJSUoKSlRnlut1tr+HERE7snYFbvv2Ix+O0cjyMPx92TlZbL/083HH0rm4yh64Q+l89AORchDx3qHIA0Ak4NxP54eGkT37HSzPSFy7ozQ5s2bsXHjRnzwwQc4fPgw1q9fj9dffx3r169vqvY1q0WLFsFoNCqP0NDQlm4SEVGrY7MLntlxGf8oe7DGmsqp8d4/h6FInIIZnWqcHebwGD//L8f9UFNyKgjNnDkTs2bNwvjx4xEZGYmJEyfihRdewKJFiwAAJpMJAHD58mXV6y5fvqzsM5lMyMvLU+0vLy9Hfn6+qsbRMaq+R001VffX1ZYbzZ49GxaLRXmcP3/eYR0RkTvbd+pHDCs7iMXa/621rjIM2eCBH+FXa+2vuhqq3SvIZNRj5SODeMmLmpRTQej69evw8FC/xNPTE3Z7xTTJ8PBwmEwmpKSkKPutVivS0tIQHR0NAIiOjkZBQQHS09OVmt27d8NutyMqKkqp2bNnD8rKfrkRV3JyMvr06QN/f3+lpur7VNZUvk992nIjnU4Hg8GgehARuTubXZB6+go+PXIRqaev4MDef2O17u/KIqoiQLG9+s9J5VScZ0qeRS4Can2PYxeseGVUBMf9ULNzaozQvffei9deew1hYWHo168fvv32W/zjH//AlClTAAAajQbPP/88/vrXv6J3794IDw/HnDlzEBISgjFjxgAAbr31VsTFxeGJJ57AqlWrUFZWhmeffRbjx49HSEgIAODhhx/GggULMHXqVCQmJiIjIwNvvfUW3njjDaUtM2bMwJ133om///3viI+Px6ZNm3Do0CFlin192kJERLVLysjF/M8yYbZWzNAy4Qo+070Cryoh6NOSoViCidiqfUUZMyQClEGDp0pmYDeG1uu95m47gf2zY5B+9iryCiumzA8N78jLYtSknJo+X1hYiDlz5uCTTz5BXl4eQkJCMGHCBMydO1eZ4SUimDdvHlavXo2CggIMHz4c7777Lm655RblOPn5+Xj22Wexbds2eHh4YNy4cXj77bfRvn17pebYsWOYPn06Dh48iICAAPzxj39EYmKiqj1btmzBq6++ijNnzqB3795YunQp7rnnHmV/fdpSG06fJyJ3lpSRi6c2HFZt64Dr+FC7AP00FUMH/lryMNbg9wCAYFzBVu0rCNRYIdAgoSQRqfiVU+/ZsZ0W+T+VKs85LZ4awpnfb6eCkLthECIid2WzCwb/NRkF16uvFdYB19EPp6FHKb7CYNU+E65gELLxPUJxCjc/4aTyXBDHCpEznPn9durSGBERuYf9P1xxGIIAoBC+2I9Ih/vM6ISdGNZo7RBUhKHKZTZ4mYwaGxddJSKialJPX2npJiiqLrNB1NgYhIiISMVmF1y4er2lm1FNXiHXiaTGx0tjRESkcLSOV2tRdZkNosbCIERERAAqQtDTGw6jtc2gqWmZDaLGwEtjRESE0nI7/vxJRouHoBuHQnOZDWpqDEJERG4uKSMXty/apbp/T3PSoOJ+Qe8+PBAmLrNBzYyXxoiI3FhLXw6resYnrn8wYvsH40BOPvIKixHYQc87S1OTYxAiInJTNrtgwbbMFr0cZrrhztGeHhpE9+zUgi0id8MgRETkZmx2wYGcfHxz6scWmR3WXueB+weGonsnX0yM7g6tF0dpUMthECIiciOtYXr8tRI7/t/+swCA/92bw7XEqEUxhhMRuYnK8UCt6R5BZksxnt5wGEkZuS3dFHJTDEJERG6gNYwHcqSyPQu2ZcJmb22tI3fAIERE5AYO5OS3qjNBVVWuJbb/h9azvhm5DwYhIiI34ArrdE3fyEtk1PwYhIiI2opiC2C56HBXV4+r6IDWt5BqVQVFZRwvRM2OQYiIqC0otgAbxgHr7gEsF9T7LBcw6MsEfOCzFAYnwpCfrzeev7s3NKi+9EVN/H298eSIcATfcIdojRP3ROR4IWpOnD5PRNQWlFwDfvovcPUMsC4emLwDMHatCEXr4qG5egY924WiXVERCuFb66DpysyyeGwk4voHIyK4Q7Up98FGPebE94XRxxupP/wIuwD+vloEdNDBZNDjpZERSD97VblD9NWfSjH9g7rvYF05XuhATj5vrEjNgkGIiKgtMHapCD/r4n8JQ/evBj6ZVvHcvzt8J+/AvPOe1UKNhwaoegLmxrs9x/UPxu/6mmpc+sJSVIZXP81QrVUW/PMxRg/oomxb6TEIs/51HAVFZXV2xxXGNFHboBERnn+sgdVqhdFohMVigcFgaOnmEBHV7eczQLh65pdt/t1/OUOEX+4sXRlqBnfzV529cWZ9r0U7M/Henpwa978QcwuevauXcrxvTv6IhDVpdR73wydu5xkhajBnfr8ZhGrBIERELulcGvD+yF+eT/k3EBbV6G+z89glPPPBt3XWmQw6zL+vH+L6B8NmFwxfshtmS7HDy2QaVJyR2pt4FxdbpQZz5vebg6WJiNoSy4WKy2FVfTKt+gDqm2SzC179NKNetWZrCZ76eTaYp4cG8+7tC6D6AOyqK9EzBFFzYRAiImorql4W8+9ecSbIv/svY4YaMQwdyMlH/k91j/WpatbHx2GzC+L6B2PlI4NgumFmmcmox8pHBnHdMWpWHCxNRNQWWC6qQ1DlmKAbB1BP3lkxsPomNWQwc8H1Mryz+xRmxPSucwA2UXPhGSEiorZA1x5o17nawGglDPl3r9iva98obxfYQV93kQNr9+Uo9wjy9NAgumcnjB7QBdE9OzEEUYvgGSEiorZAbwQe+VfF/YRuPONj7FpxJkjXvqKuEQwN74hgo97p9csKrpfxHkHUqvCMEBFRW6E31nzZy9il0UIQAGXQc0PO4fAeQdSaMAgREVGDxPUPxrQR4XD2itaZH39qmgYRNQCDEBERNUhSRi5W78mBs8uCvbHrJBdWpVaDQYiIiJxmswsWbMusc+0wRzTgwqrUejAIERGR0w7k5Ds9ULpS1YVViVoagxARETmtMQY8c9A0tQYMQkRE5LSG3keosY9BdLN4HyEiIjdw44rzN3sX56HhHeHn442CIueW2QB+WVh1aHjHBr8/UWNx6oxQ9+7dodFoqj2mT58OADCbzZg4cSJMJhPatWuHQYMG4V//+pfqGPn5+UhISIDBYICfnx+mTp2Ka9euqWqOHTuGO+64A3q9HqGhoVi6dGm1tmzZsgURERHQ6/WIjIzEzp07VftFBHPnzkVwcDB8fHwQExODkydPOtNdIqI2ISkjF8OX7MaEf+7HjE1HMOGf+zF8ye6bmrnl6aHBY//T3enXcWFVam2cCkIHDx5Ebm6u8khOTgYAPPDAAwCARx99FNnZ2fjss89w/PhxjB07Fg8++CC+/fZb5RgJCQk4ceIEkpOTsX37duzZswfTpv2yUrLVasXIkSPRrVs3pKenY9myZZg/fz5Wr16t1Ozbtw8TJkzA1KlT8e2332LMmDEYM2YMMjJ+WQl56dKlePvtt7Fq1SqkpaWhXbt2iI2NRXExr0kTkftIysjF0xsOVxvYbLYU4+mfV4RvqGfv6g0/X+9aa27MOlxYlVobjYg0eP7i888/j+3bt+PkyZPQaDRo3749Vq5ciYkTJyo1nTp1wpIlS/D4448jKysLffv2xcGDBzFkyBAAQFJSEu655x5cuHABISEhWLlyJV555RWYzWZotVoAwKxZs7B161Z89913AICHHnoIP/30E7Zv3668z+23344BAwZg1apVEBGEhITgpZdewp/+9CcAgMViQVBQENatW4fx48fXq39WqxVGoxEWiwUGg6GhfyYiohZhswuGL9ld4+yuyktUexPvavDZmcqgdeMPSeXRVjw8CP7ttFxYlZqVM7/fDR4sXVpaig0bNmDKlCnQaCr+oR42bBg++ugj5Ofnw263Y9OmTSguLsZvfvMbAEBqair8/PyUEAQAMTEx8PDwQFpamlIzYsQIJQQBQGxsLLKzs3H16lWlJiYmRtWe2NhYpKamAgBycnJgNptVNUajEVFRUUqNIyUlJbBaraoHEZGrqmuKe2NMY4/rH4yVjwxCsFE98LnyzM89vwrmwqrUqjV4sPTWrVtRUFCAyZMnK9s2b96Mhx56CJ06dYKXlxd8fX3xySefoFevXgAqxhAFBgaqG+DlhY4dO8JsNis14eHhqpqgoCBln7+/P8xms7Ktak3VY1R9naMaRxYtWoQFCxbU909ARNRi6jP4ub7T0292Gntc/2D8rq+pWnsAIPX0FZ4NolatwUFozZo1GDVqFEJCQpRtc+bMQUFBAXbt2oWAgABs3boVDz74IL7++mtERkY2SoOb0uzZs/Hiiy8qz61WK0JDQ1uwRURE1SVl5GLBtkzV2Z5gox7z7u2rGntT3+npjTGN3dNDo1pRvr5tJGppDbo0dvbsWezatQuPP/64su306dN455138P777+Puu+/Gbbfdhnnz5mHIkCFYsWIFAMBkMiEvL091rPLycuTn58NkMik1ly9fVtVUPq+rpur+qq9zVOOITqeDwWBQPYiIWhNnBj8PDe+IYKO+xhXiNagIJ409jb0pB2gTNbYGBaG1a9ciMDAQ8fHxyrbr169XHNBDfUhPT0/Y7XYAQHR0NAoKCpCenq7s3717N+x2O6KiopSaPXv2oKzsl3tTJCcno0+fPvD391dqUlJSVO+TnJyM6OhoAEB4eDhMJpOqxmq1Ii0tTakhInI1ta3vVbmt6hpenh4azLu3LwBUC0NNNY3d2TYStTSng5DdbsfatWsxadIkeHn9cmUtIiICvXr1wpNPPokDBw7g9OnT+Pvf/47k5GSMGTMGAHDrrbciLi4OTzzxBA4cOIBvvvkGzz77LMaPH69cYnv44Yeh1WoxdepUnDhxAh999BHeeust1SWrGTNmICkpCX//+9/x3XffYf78+Th06BCeffZZAIBGo8Hzzz+Pv/71r8pU/kcffRQhISFKW4iIXE1DBj9XDmY21TCYubEvU93sAG2bXZB6+go+PXIRqaevMDBRk3N6jNCuXbtw7tw5TJkyRbXd29sbO3fuxKxZs3Dvvffi2rVr6NWrF9avX4977rlHqdu4cSOeffZZ3H333fDw8MC4cePw9ttvK/uNRiP+/e9/Y/r06Rg8eDACAgIwd+5c1b2Ghg0bhg8++ACvvvoq/vznP6N3797YunUr+vfvr9S8/PLL+OmnnzBt2jQUFBRg+PDhSEpKgl7PW7oTkWtq6ODnmgYzN8XA5ZsZoM1xRdQSbuo+Qm0d7yNERK1J6ukrmPDP/XXWffjE7aqBy03pxtlrdhEk/G9ana+7sY113Y+IN2EkZzjz+821xoiIXETl4GezpdjhGJymXMPL0XT95ExztTM4JoMOfr7esFwvq3cb6xpXpEHFuKLf9TVx+j01OgYhIiIXUTn4+ekNh6EBVMGhKdfwcnTJys/XGwXXqy+4etlaorSrvm10ZlxRc53pIvfR4DtLExFR82vuwc81TYV3FIKAX87g+Pl6I8hQvzY2140fiRzhGSEiIhdw46Wp/8z8LdLPXm3Swc+1XbKqjaAiKG2cOggeHpo629icN34kuhGDEBFRK3Nj6Ln6UwkW7shyOJtq9IAuTdaOui5Z1eXHn0rq1b6WHPtExCBERNSKOBqP40jlXZqbcjbVzV6Kqu8ZnJYa+0QEcIwQEVGrUdN4HEea4y7NDb0U1ZClO5p77BNRJZ4RIiJqBRoyHqepZ1PVdcnKkZs5g9OcN34kqsQzQkRErcDNjMdpqtlU9VmrzM/XW7X9Zs/gVK5iP3pAF0T37MQQRE2OZ4SIiFqBmwkzTTmbqvKSVbUbJ/48WJtncMjVMQgREbUCDQkzzTWbqq5LVrzJIbkyXhojImoFKsfj1PdcCmdTETUOnhEiImoFaptC7oipGVdl56rw1JZx9flacPV5ImpuNYWOOfF94d9O2+xjcbgqPLkirj5PROSiWtMUcq4KT+6AQYiIqJWpnELe0rgqPLkDDpYmIiKHuCo8uQMGISIicqi+U/p/LCzBp0cuIvX0lSZb7oOoqfDSGBEROVSfJTY8NMDCHVnKc84mI1fDM0JERORQbUtsVLrxBJDZUoynNxxGUkZu0zaOqJEwCBERUY1qWhW+pklilblowbZMXiYjl8BLY0REVKsbp/T/WFiiuhx2I84mI1fCIERERHWqOqX/0yMX6/UaziYjV8BLY0RE5JT6ziZryEKyRM2NQYiIiJxS1wKxGlTMHhsa3rE5m0XUIAxCRETklNpmk1U+n3dvXy67QS6BQYiIiJxW02wyk1HPhVjJpXCwNBERNUhrWiCWqKEYhIiIqMFaywKxRA3FS2NERETkthiEiIiIyG0xCBEREZHbYhAiIiIit8UgRERERG7LqSDUvXt3aDSaao/p06crNampqbjrrrvQrl07GAwGjBgxAkVFRcr+/Px8JCQkwGAwwM/PD1OnTsW1a9dU73Ps2DHccccd0Ov1CA0NxdKlS6u1ZcuWLYiIiIBer0dkZCR27typ2i8imDt3LoKDg+Hj44OYmBicPHnSme4SERFRG+dUEDp48CByc3OVR3JyMgDggQceAFARguLi4jBy5EgcOHAABw8exLPPPgsPj1/eJiEhASdOnEBycjK2b9+OPXv2YNq0acp+q9WKkSNHolu3bkhPT8eyZcswf/58rF69WqnZt28fJkyYgKlTp+Lbb7/FmDFjMGbMGGRkZCg1S5cuxdtvv41Vq1YhLS0N7dq1Q2xsLIqLuQggERER/UxuwowZM6Rnz55it9tFRCQqKkpeffXVGuszMzMFgBw8eFDZ9vnnn4tGo5GLFy+KiMi7774r/v7+UlJSotQkJiZKnz59lOcPPvigxMfHq44dFRUlTz75pIiI2O12MZlMsmzZMmV/QUGB6HQ6+fDDD+vdP4vFIgDEYrHU+zVERETUspz5/W7wGKHS0lJs2LABU6ZMgUajQV5eHtLS0hAYGIhhw4YhKCgId955J/bu3au8JjU1FX5+fhgyZIiyLSYmBh4eHkhLS1NqRowYAa1Wq9TExsYiOzsbV69eVWpiYmJU7YmNjUVqaioAICcnB2azWVVjNBoRFRWl1DhSUlICq9WqehAREVHb1eAgtHXrVhQUFGDy5MkAgB9++AEAMH/+fDzxxBNISkrCoEGDcPfddytjc8xmMwIDA1XH8fLyQseOHWE2m5WaoKAgVU3l87pqqu6v+jpHNY4sWrQIRqNReYSGhtbvj0FEREQuqcFBaM2aNRg1ahRCQkIAAHa7HQDw5JNP4rHHHsPAgQPxxhtvoE+fPnj//fcbp7VNbPbs2bBYLMrj/PnzLd0kIiIiakINWmvs7Nmz2LVrFz7++GNlW3BwxUrDffv2VdXeeuutOHfuHADAZDIhLy9Ptb+8vBz5+fkwmUxKzeXLl1U1lc/rqqm6v3JbZbsqnw8YMKDGful0Ouh0ulp6TkRERG1Jg84IrV27FoGBgYiPj1e2de/eHSEhIcjOzlbVfv/99+jWrRsAIDo6GgUFBUhPT1f27969G3a7HVFRUUrNnj17UFZWptQkJyejT58+8Pf3V2pSUlJU75OcnIzo6GgAQHh4OEwmk6rGarUiLS1NqSEioptnswtST1/Bp0cuIvX0Fdjs0tJNInKOsyOxbTabhIWFSWJiYrV9b7zxhhgMBtmyZYucPHlSXn31VdHr9XLq1CmlJi4uTgYOHChpaWmyd+9e6d27t0yYMEHZX1BQIEFBQTJx4kTJyMiQTZs2ia+vr7z33ntKzTfffCNeXl7y+uuvS1ZWlsybN0+8vb3l+PHjSs3ixYvFz89PPv30Uzl27JiMHj1awsPDpaioqN595awxIqKafX78ktz+t13SLXG78rj9b7vk8+OXWrpp5Oac+f12Ogh98cUXAkCys7Md7l+0aJF07dpVfH19JTo6Wr7++mvV/itXrsiECROkffv2YjAY5LHHHpPCwkJVzdGjR2X48OGi0+mkS5cusnjx4mrvs3nzZrnllltEq9VKv379ZMeOHar9drtd5syZI0FBQaLT6eTuu++usc01YRAiInLs8+OXpHuVAFT56P7zg2GIWpIzv98aEeF5zBpYrVYYjUZYLBYYDIaWbg4RUatgswuGL9mNXIvjG9RqAJiMeuxNvAueHprmbRwRnPv95lpjRETklAM5+TWGIAAQALmWYhzIyW++RhE1EIMQERE5Ja+wfksV1beOqCUxCBERkVMCO+gbtY6oJTEIERGRU4aGd0SwUY+aRv9oAAQb9Rga3rE5m0XUIAxCRETkFE8PDebdW3Hz3BvDUOXzeff25UBpcgkMQkRE5LS4/sFY+cggmIzqy18mox4rHxmEuP7BNbySqHVp0BIbREREcf2D8bu+JhzIyUdeYTECO1RcDuOZIHIlDEJE1OrY7MIfVxfh6aFBdM9OLd0MogZjECKiViUpIxcLtmWq7lMTbNRj3r19ebnFBTHUUmvHIERErUZSRi6e3nAYN97u3mwpxtMbDnPsiYthqCVXwMHSRNQq2OyCBdsyq4UgAMq2Bdsyubq5i6gMtTfegboy1CZl5LZQy4jUGISIqFXgsg1tB0MtuRIGISJqFbhsQ9vBUEuuhEGIiFoFLtvQdjDUkithECKiVoHLNrQdDLXkShiEiKhV4LINbQdDLbkSBiEiajW4bEPbMf7XYQ4HSzPUUmvD+wgRUavCZRtcm6N7B1Vl4n2EqJVhECKiVofLNrimmm6IWekPg7rgb2N/Ba0XL0ZQ68F/GomoTbDZBamnr+DTIxeRevoK71HTzGq7d1Cl/zt8ESOWfsmbKVKrwjNCROTyuJRDy6vr3kGVzFYul0KtC88IEZFL41IOrYOz9wTinaWptWAQIiKXxaUcWg9n7gnEO0tTa8IgREQui0s5tB513TvIEd5ZmloDjhFqQddLy2vc56HRQO/t2eS1RaU2SA3DGzXQwEfbsNriMhvsUvN/hftqvVq81sfbExpNxdd2Sbmt1rMGztTqvTzh8fNU79JyO8rt9kap1Xl5KlPInakts9lRZqu5VuvpAS9PD6dry212lNZS6+3pAe8G1NrsgpJyW421Xh4eyqwjs6Woxrqq8gqLYbcLiut53LpqPT000HlV/PMuIigqa5za5vr3vim+Izw9NJg9KgLPbTpS47FvZNB719iWlviOqLqP3Ac/9RbUd+4XNe77bZ/OWPvYUOX54IW7avwCjQrviI+ejFaeD1/yJfJ/KnVY+6uuRnz27HDlecw//oOLBY5/THoHtkfyi3cqz+97Zy9O5l1zWNvFzwffzLpLef7ge6k4dsHisLZjOy0Oz/md8nzS+weQVsN/sft4eyJrYZzy/OkN6fgy+78OawHgzOJ45f+/uPkIdh4311ib+ZdY5Yvvzx9n4F+HL9RYm/5qDDq11wEA/ro9C/9v/9kaa79++bcI7egLAHj939lYveeHGmv//cII3BLUAQCw4stTeCvlZI21n07/H9wW6gcAWPtNDhZ9/l2NtR8+cbsy/fzDA+cw99MTNda+P3kI7ooIAgBs/fYiZv7fsRprVzw8CPG/qhjg+sWJy5j+weEaa5f94Vd4YEgoAGDPyf9iyrpDNdb+ZXQ/PBrdHUDFWZ4J/9xfY+3sURF48s6eAICfSmsOFVUFdtDj1H+vYeQbe2qsmTaiB/58z60AgIsFRbhj6Zc11k68vRsWjukPAMj/qRSD/7qrxtpxg7ri7w/eBgAoKrPV+u/9PZEmvJswWHnuCt8RSc+PUO75tDQpu8b2VqUB4OWpwWPrDjrc31LfEVX3kftgECIil9UvxFBnTeVSDqf/6zjEU8NdKynH8CW76zVbrFLlpbMQow/O5l9vmoYROUEjUss5RDdntVphNBphsVhgMNT9hessVzrt7WwtL43x0lhzXBqz2QXbj13EjE1Ha6xf9fM0bV4aa9zviORMc61/97fGV5wF+9vO73DZWqJsr7ytwW/6BLa67wheGms7nPn9ZhCqRVMHISJqHLyPUPOy2aXWM0EaVCylsTex4nI5l0uh5ubM7zfjLxG5PK5P1rycma0X3bMTl0uhVo1BiIjaBK5P1nzqO+2d0+PJFfA+QkRE5JT63jzRmZssErUUnhEiIiKnVN480Wwpdjh9onKM0NDwjk3WBptdeCmUGgWDEBEROcXTQ4N59/bF0xsOQwOowlBlFJl3b98mCyYcHE+NyalLY927d4dGo6n2mD59uqpORDBq1ChoNBps3bpVte/cuXOIj4+Hr68vAgMDMXPmTJSXq6dyfvXVVxg0aBB0Oh169eqFdevWVWvLihUr0L17d+j1ekRFReHAgQOq/cXFxZg+fTo6deqE9u3bY9y4cbh8+bIz3SUiohrE9Q/GykcGwWRUX/4yGfVNurI8F9mlxubUGaGDBw/CZvvlHhgZGRn43e9+hwceeEBV9+abbyr3XKnKZrMhPj4eJpMJ+/btQ25uLh599FF4e3vjb3/7GwAgJycH8fHxeOqpp7Bx40akpKTg8ccfR3BwMGJjYwEAH330EV588UWsWrUKUVFRePPNNxEbG4vs7GwEBgYCAF544QXs2LEDW7ZsgdFoxLPPPouxY8fim2++ce4vREREDjX3bL26FtnVoGKR3d/1NfEyGdXbTd1H6Pnnn8f27dtx8uRJJfgcOXIEv//973Ho0CEEBwfjk08+wZgxYwAAn3/+OX7/+9/j0qVLCAqquKX/qlWrkJiYiP/+97/QarVITEzEjh07kJGRobzP+PHjUVBQgKSkJABAVFQUfv3rX+Odd94BANjtdoSGhuKPf/wjZs2aBYvFgs6dO+ODDz7AH/7wBwDAd999h1tvvRWpqam4/fbb69U/3keIiKj1SD19pdblVypVXWKG3JMzv98NnjVWWlqKDRs2YMqUKUoIun79Oh5++GGsWLECJpOp2mtSU1MRGRmphCAAiI2NhdVqxYkTJ5SamJgY1etiY2ORmpqqvG96erqqxsPDAzExMUpNeno6ysrKVDUREREICwtTahwpKSmB1WpVPYiIqHXgtH1qCg0OQlu3bkVBQQEmT56sbHvhhRcwbNgwjB492uFrzGazKgQBUJ6bzeZaa6xWK4qKivDjjz/CZrM5rKl6DK1WCz8/vxprHFm0aBGMRqPyCA0NrfkPQEREzYrT9qkpNDgIrVmzBqNGjUJISAgA4LPPPsPu3bvx5ptvNlbbmt3s2bNhsViUx/nz51u6SURE9LPKafs1jf7R4JdFdonqq0FB6OzZs9i1axcef/xxZdvu3btx+vRp+Pn5wcvLC15eFeOwx40bh9/85jcAAJPJVG3mVuXzyktpNdUYDAb4+PggICAAnp6eDmuqHqO0tBQFBQU11jii0+lgMBhUDyIiah0qp+0DqBaGmmPaPrVNDQpCa9euRWBgIOLj45Vts2bNwrFjx3DkyBHlAQBvvPEG1q5dCwCIjo7G8ePHkZeXp7wuOTkZBoMBffv2VWpSUlJU75ecnIzo6GgAgFarxeDBg1U1drsdKSkpSs3gwYPh7e2tqsnOzsa5c+eUGiIicj0tNW2f2jBxks1mk7CwMElMTKyzFoB88sknyvPy8nLp37+/jBw5Uo4cOSJJSUnSuXNnmT17tlLzww8/iK+vr8ycOVOysrJkxYoV4unpKUlJSUrNpk2bRKfTybp16yQzM1OmTZsmfn5+YjablZqnnnpKwsLCZPfu3XLo0CGJjo6W6Ohop/pqsVgEgFgsFqdeR0RETavcZpd9p36Urd9ekH2nfpRym72lm0StiDO/304HoS+++EIASHZ2dt0HvyEIiYicOXNGRo0aJT4+PhIQECAvvfSSlJWVqWq+/PJLGTBggGi1WunRo4esXbu22rGXL18uYWFhotVqZejQobJ//37V/qKiInnmmWfE399ffH195f7775fc3Fyn+sogRERE5Hqc+f2+qfsItXW8jxAREZHraZb7CBERERG5OgYhIiIiclsMQkREROS2GISIiIjIbTEIERERkdtiECIiIiK3xSBEREREbotBiIiIiNwWgxARERG5LQYhIiIiclsMQkREROS2GISIiIjIbTEIERERkdtiECIiIiK3xSBEREREbotBiIiIiNwWgxARERG5LQYhIiIiclsMQkREROS2GISIiIjIbTEIERERkdtiECIiIiK3xSBEREREbotBiIiIiNyWV0s3gIiImp/NLjiQk4+8wmIEdtBjaHhHeHpoWrpZRM2OQYiIyM0kZeRiwbZM5FqKlW3BRj3m3dsXcf2DW7BlRM2Pl8aIiNxIUkYunt5wWBWCAMBsKcbTGw4jKSO3hVpG1DIYhIiI3ITNLliwLRPiYF/ltgXbMmGzO6ogapsYhIiI3MSBnPxqZ4KqEgC5lmIcyMlvvkYRtTAGISIiN5FXWHMIakgdUVvAIERE5CYCO+gbtY6oLWAQIiJyE0PDOyLYqEdNk+Q1qJg9NjS8Y3M2i6hFMQgREbkJTw8N5t3bFwCqhaHK5/Pu7cv7CZFbYRAiInIjcf2DsfKRQTAZ1Ze/TEY9Vj4yiPcRIrfjVBDq3r07NBpNtcf06dORn5+PP/7xj+jTpw98fHwQFhaG5557DhaLRXWMc+fOIT4+Hr6+vggMDMTMmTNRXl6uqvnqq68waNAg6HQ69OrVC+vWravWlhUrVqB79+7Q6/WIiorCgQMHVPuLi4sxffp0dOrUCe3bt8e4ceNw+fJlZ7pLRNQmxfUPxt7Eu/DhE7fjrfED8OETt2Nv4l0MQeSWnApCBw8eRG5urvJITk4GADzwwAO4dOkSLl26hNdffx0ZGRlYt24dkpKSMHXqVOX1NpsN8fHxKC0txb59+7B+/XqsW7cOc+fOVWpycnIQHx+P3/72tzhy5Aief/55PP744/jiiy+Umo8++ggvvvgi5s2bh8OHD+O2225DbGws8vLylJoXXngB27Ztw5YtW/Cf//wHly5dwtixYxv8hyIiaks8PTSI7tkJowd0QXTPTrwcRu5LbsKMGTOkZ8+eYrfbHe7fvHmzaLVaKSsrExGRnTt3ioeHh5jNZqVm5cqVYjAYpKSkREREXn75ZenXr5/qOA899JDExsYqz4cOHSrTp09XnttsNgkJCZFFixaJiEhBQYF4e3vLli1blJqsrCwBIKmpqfXun8ViEQBisVjq/RoiIiJqWc78fjd4jFBpaSk2bNiAKVOmQKNx/F8SFosFBoMBXl4VS5qlpqYiMjISQUFBSk1sbCysVitOnDih1MTExKiOExsbi9TUVOV909PTVTUeHh6IiYlRatLT01FWVqaqiYiIQFhYmFLjSElJCaxWq+pBREREbVeDg9DWrVtRUFCAyZMnO9z/448/YuHChZg2bZqyzWw2q0IQAOW52WyutcZqtaKoqAg//vgjbDabw5qqx9BqtfDz86uxxpFFixbBaDQqj9DQ0Jr/AEREROTyGhyE1qxZg1GjRiEkJKTaPqvVivj4ePTt2xfz58+/mfY1q9mzZ8NisSiP8+fPt3STiIiIqAl5NeRFZ8+exa5du/Dxxx9X21dYWIi4uDh06NABn3zyCby9vZV9JpOp2uyuyplcJpNJ+d8bZ3ddvnwZBoMBPj4+8PT0hKenp8OaqscoLS1FQUGB6qxQ1RpHdDoddDpdPf4CRERE1BY06IzQ2rVrERgYiPj4eNV2q9WKkSNHQqvV4rPPPoNer75PRXR0NI4fP66a3ZWcnAyDwYC+ffsqNSkpKarXJScnIzo6GgCg1WoxePBgVY3dbkdKSopSM3jwYHh7e6tqsrOzce7cOaWGiIiIyOlZYzabTcLCwiQxMbHaCO2oqCiJjIyUU6dOSW5urvIoLy8XEZHy8nLp37+/jBw5Uo4cOSJJSUnSuXNnmT17tnKcH374QXx9fWXmzJmSlZUlK1asEE9PT0lKSlJqNm3aJDqdTtatWyeZmZkybdo08fPzU81Ge+qppyQsLEx2794thw4dkujoaImOjnaqr5w1RkRE5Hqc+f12Ogh98cUXAkCys7NV27/88ksB4PCRk5Oj1J05c0ZGjRolPj4+EhAQIC+99JIyvb7qsQYMGCBarVZ69Ogha9eurdaO5cuXS1hYmGi1Whk6dKjs379ftb+oqEieeeYZ8ff3F19fX7n//vslNzfXqb4yCBEREbkeZ36/NSIiLXQyqtWzWq0wGo3KbQCIiIio9XPm95trjREREZHbYhAiIiIit8UgRERERG6LQYiIiIjcVoNuqEhERI3LZhccyMlHXmExAjvoMTS8I1eEJ2oGDEJERC0sKSMXC7ZlItdSrGwLNuox796+iOsf3IItI2r7eGmMiKgFJWXk4ukNh1UhCADMlmI8veEwkjJyW6hlRO6BQYiIqIXY7IIF2zLh6GZuldsWbMuEzc7bvRE1FQYhIqIWciAnv9qZoKoEQK6lGAdy8puvUURuhkGIiKiF5BXWHIIaUkdEzuNgaSKiFhLYQd+oda0FZ8CRK2EQIiJqIUPDOyLYqIfZUuxwnJAGgMlYESRcBWfAkavhpTEiohbi6aHBvHv7AqgIPVVVPp93b1+XOZvCGXDkihiEiIhaUFz/YKx8ZBBMRvXlL5NRj5WPDHKZsyicAUeuipfGiIhaWFz/YPyur8mlx9U4MwMuumen5msYUR0YhIiIWgFPD41LBwTOgCNXxUtjRER009rqDDhq+xiEiIjoplXOgKvpYp4GFbPHXGkGHLkHBiEiIrppbW0GHLkPBiEiImoUbWUGHLkXDpYmIqJG0xZmwJF7YRAiIqJG5eoz4Mi98NIYERERuS0GISIiInJbDEJERETkthiEiIiIyG0xCBEREZHbYhAiIiIit8UgRERERG6LQYiIiIjcFoMQERERuS3eWboWIgIAsFqtLdwSIiIiqq/K3+3K3/HaMAjVorCwEAAQGhrawi0hIiIiZxUWFsJoNNZao5H6xCU3ZbfbcenSJXTo0AEaTfMvGGi1WhEaGorz58/DYDA0+/s3N/a3bXOn/rpTXwH2t61zxf6KCAoLCxESEgIPj9pHAfGMUC08PDzQtWvXlm4GDAaDy/zD1xjY37bNnfrrTn0F2N+2ztX6W9eZoEocLE1ERERui0GIiIiI3BaDUCum0+kwb9486HS6lm5Ks2B/2zZ36q879RVgf9u6tt5fDpYmIiIit8UzQkREROS2GISIiIjIbTEIERERkdtiECIiIiK3xSB0ky5evIhHHnkEnTp1go+PDyIjI3Ho0CFlv0ajcfhYtmyZUtO9e/dq+xcvXqx6n2PHjuGOO+6AXq9HaGgoli5dWq0tW7ZsQUREBPR6PSIjI7Fz507VfhHB3LlzERwcDB8fH8TExODkyZP17qujdmo0GkyfPh0AUFxcjOnTp6NTp05o3749xo0bh8uXL6uOce7cOcTHx8PX1xeBgYGYOXMmysvLVTVfffUVBg0aBJ1Oh169emHdunXV2rJixQp0794der0eUVFROHDggGp/fdpyM/3Nz8/HH//4R/Tp0wc+Pj4ICwvDc889B4vFojqGo9dv2rTJ5foLAL/5zW+q7XvqqadUx3CVz7e2vp45c6bGf2+3bNmiHMOVPlubzYY5c+YgPDwcPj4+6NmzJxYuXKhah6k+3w/5+flISEiAwWCAn58fpk6dimvXrqlqWsN3VV39LSsrQ2JiIiIjI9GuXTuEhITg0UcfxaVLl1THcYXv5vp8tpMnT67Wj7i4ONVxXOWzbRJCDZafny/dunWTyZMnS1pamvzwww/yxRdfyKlTp5Sa3Nxc1eP9998XjUYjp0+fVmq6desmf/nLX1R1165dU/ZbLBYJCgqShIQEycjIkA8//FB8fHzkvffeU2q++eYb8fT0lKVLl0pmZqa8+uqr4u3tLcePH1dqFi9eLEajUbZu3SpHjx6V++67T8LDw6WoqKhe/c3Ly1O1MTk5WQDIl19+KSIiTz31lISGhkpKSoocOnRIbr/9dhk2bJjy+vLycunfv7/ExMTIt99+Kzt37pSAgACZPXu2UvPDDz+Ir6+vvPjii5KZmSnLly8XT09PSUpKUmo2bdokWq1W3n//fTlx4oQ88cQT4ufnJ5cvX1Zq6mrLzfb3+PHjMnbsWPnss8/k1KlTkpKSIr1795Zx48apjgFA1q5dqzpO1b+3q/RXROTOO++UJ554QlVjsViU17vS51tbX8vLy6v9e7tgwQJp3769FBYWKsdwpc/2tddek06dOsn27dslJydHtmzZIu3bt5e33npLqanP90NcXJzcdtttsn//fvn666+lV69eMmHCBGV/a/muqqu/BQUFEhMTIx999JF89913kpqaKkOHDpXBgwerjuMK3831+WwnTZokcXFxqn7k5+erjuMqn21TYBC6CYmJiTJ8+HCnXjN69Gi56667VNu6desmb7zxRo2veffdd8Xf319KSkpU792nTx/l+YMPPijx8fGq10VFRcmTTz4pIiJ2u11MJpMsW7ZM2V9QUCA6nU4+/PBDp/pQacaMGdKzZ0+x2+1SUFAg3t7esmXLFmV/VlaWAJDU1FQREdm5c6d4eHiI2WxWalauXCkGg0Hp28svvyz9+vVTvc9DDz0ksbGxyvOhQ4fK9OnTlec2m01CQkJk0aJFSr/qasvN9teRzZs3i1arlbKyMmUbAPnkk09qPKYr9ffOO++UGTNm1Fjvyp9vXZ/tgAEDZMqUKaptrvTZxsfHV2v/2LFjJSEhQUTq9/2QmZkpAOTgwYNKzeeffy4ajUYuXrwoIq3nu6qu/jpy4MABASBnz55VtrnCd3N9+jpp0iQZPXp0jcdwpc+2KfDS2E347LPPMGTIEDzwwAMIDAzEwIED8c9//rPG+suXL2PHjh2YOnVqtX2LFy9Gp06dMHDgQCxbtkx1OSE1NRUjRoyAVqtVtsXGxiI7OxtXr15VamJiYlTHjI2NRWpqKgAgJycHZrNZVWM0GhEVFaXUOKO0tBQbNmzAlClToNFokJ6ejrKyMtXxIyIiEBYWphw/NTUVkZGRCAoKUrXRarXixIkT9epHaWkp0tPTVTUeHh6IiYlRaurTlpvtryMWiwUGgwFeXuol/KZPn46AgAAMHToU77//vuqUtav1d+PGjQgICED//v0xe/ZsXL9+XdUXV/x86/ps09PTceTIEYf/3rrKZzts2DCkpKTg+++/BwAcPXoUe/fuxahRowDU7/shNTUVfn5+GDJkiFITExMDDw8PpKWlKTWt4buqrv46YrFYoNFo4Ofnp9re2r+b69vXr776CoGBgejTpw+efvppXLlyRdUPV/lsmwIXXb0JP/zwA1auXIkXX3wRf/7zn3Hw4EE899xz0Gq1mDRpUrX69evXo0OHDhg7dqxq+3PPPYdBgwahY8eO2LdvH2bPno3c3Fz84x//AACYzWaEh4erXlP5Y2M2m+Hv7w+z2az6AaqsMZvNSl3V1zmqccbWrVtRUFCAyZMnK8fXarXVvkRubIOj96/avppqrFYrioqKcPXqVdhsNoc13333Xb3bcrP9vdGPP/6IhQsXYtq0aartf/nLX3DXXXfB19cX//73v/HMM8/g2rVreO6551yuvw8//DC6deuGkJAQHDt2DImJicjOzsbHH39ca18q97XW/tb12a5Zswa33norhg0bptruSp/trFmzYLVaERERAU9PT9hsNrz22mtISEhQ3qfyuDW9j9lsRmBgoGq/l5cXOnbsqKppDd9VdfX3RsXFxUhMTMSECRNUi4q6wndzffoaFxeHsWPHIjw8HKdPn8af//xnjBo1CqmpqfD09HSpz7YpMAjdBLvdjiFDhuBvf/sbAGDgwIHIyMjAqlWrHAah999/HwkJCdDr9artL774ovL/f/WrX0Gr1eLJJ5/EokWLWu0tzdesWYNRo0YhJCSkpZvSLGrrr9VqRXx8PPr27Yv58+er9s2ZM0f5/wMHDsRPP/2EZcuWKT+WrZWj/lYNeZGRkQgODsbdd9+N06dPo2fPni3RzEZR22dbVFSEDz74QPU5VnKlz3bz5s3YuHEjPvjgA/Tr1w9HjhzB888/j5CQEIffVa7Omf6WlZXhwQcfhIhg5cqVqn2u8N1cn76OHz9eqY+MjMSvfvUr9OzZE1999RXuvvvulmp6q8FLYzchODgYffv2VW279dZbce7cuWq1X3/9NbKzs/H444/XedyoqCiUl5fjzJkzAACTyVRtlkjlc5PJVGtN1f1VX+eopr7Onj2LXbt2qfpiMplQWlqKgoKCWtvQ0H4YDAb4+PggICAAnp6edfa1rrbcbH8rFRYWIi4uDh06dMAnn3wCb2/vWo8VFRWFCxcuoKSkRGmrK/X3xr4AwKlTp2rtS+W+2mpaqr919fX//u//cP36dTz66KN1Hqs1f7YzZ87ErFmzMH78eERGRmLixIl44YUXsGjRIuV9Ko9bW1vy8vJU+8vLy5Gfn98o/4435ndVXf2tVBmCzp49i+TkZNXZIEda43dzfftaVY8ePRAQEKD6d9dVPtumwCB0E/7nf/4H2dnZqm3ff/89unXrVq12zZo1GDx4MG677bY6j3vkyBF4eHgopyqjo6OxZ88elJWVKTXJycno06cP/P39lZqUlBTVcZKTkxEdHQ0ACA8Ph8lkUtVYrVakpaUpNfW1du1aBAYGIj4+Xtk2ePBgeHt7q46fnZ2Nc+fOKcePjo7G8ePHVf/CVX75VAbKuvqh1WoxePBgVY3dbkdKSopSU5+23Gx/gYq/38iRI6HVavHZZ59VO9PnyJEjR+Dv76/816Qr9ddRX4CK/yCo7Iurfb519XXNmjW477770Llz5zqP1Zo/2+vXr8PDQ/117+npCbvdDqB+3w/R0dEoKChAenq6UrN7927Y7XYlFLeW76q6+gv8EoJOnjyJXbt2oVOnTnUetzV+N9enrze6cOECrly5ovp311U+2ybRYsO024ADBw6Il5eXvPbaa3Ly5EnZuHGj+Pr6yoYNG1R1FotFfH19ZeXKldWOsW/fPnnjjTfkyJEjcvr0admwYYN07txZHn30UaWmoKBAgoKCZOLEiZKRkSGbNm0SX1/fatMWvby85PXXX5esrCyZN2+ew2mLfn5+8umnn8qxY8dk9OjRTk9btNlsEhYWJomJidX2PfXUUxIWFia7d++WQ4cOSXR0tERHRyv7K6dXjxw5Uo4cOSJJSUnSuXNnh9OrZ86cKVlZWbJixQqHU451Op2sW7dOMjMzZdq0aeLn56earVRXW262vxaLRaKioiQyMlJOnTqlmpZaXl4uIiKfffaZ/POf/5Tjx4/LyZMn5d133xVfX1+ZO3euy/X31KlT8pe//EUOHTokOTk58umnn0qPHj1kxIgRSo2rfb61/bMsInLy5EnRaDTy+eefV9vnap/tpEmTpEuXLsoU648//lgCAgLk5ZdfVmrq8/0QFxcnAwcOlLS0NNm7d6/07t1bNcW6tXxX1dXf0tJSue+++6Rr165y5MgR1b+/lbOiXOW7ua6+FhYWyp/+9CdJTU2VnJwc2bVrlwwaNEh69+4txcXFLvfZNgUGoZu0bds26d+/v+h0OomIiJDVq1dXq3nvvffEx8dHCgoKqu1LT0+XqKgoMRqNotfr5dZbb5W//e1vqn9ARUSOHj0qw4cPF51OJ126dJHFixdXO9bmzZvllltuEa1WK/369ZMdO3ao9tvtdpkzZ44EBQWJTqeTu+++W7Kzs53q7xdffCEAHL6uqKhInnnmGfH39xdfX1+5//77JTc3V1Vz5swZGTVqlPj4+EhAQIC89NJLqunmIiJffvmlDBgwQLRarfTo0UPWrl1b7b2WL18uYWFhotVqZejQobJ//36n23Iz/f3yyy8FgMNHTk6OiFRMPx0wYIC0b99e2rVrJ7fddpusWrVKbDaby/X33LlzMmLECOnYsaPodDrp1auXzJw5U3UfIRHX+nxr+2dZRGT27NkSGhpa7fMScb3P1mq1yowZMyQsLEz0er306NFDXnnlFdVU6Pp8P1y5ckUmTJgg7du3F4PBII899pjq3koireO7qq7+5uTk1Pjvb+V9s1zlu7muvl6/fl1GjhwpnTt3Fm9vb+nWrZs88cQTqrAt4jqfbVPQiFSZ70lERETkRjhGiIiIiNwWgxARERG5LQYhIiIiclsMQkREROS2GISIiIjIbTEIERERkdtiECIiIiK3xSBEREREbotBiIiIiNwWgxARERG5LQYhIiIiclsMQkREROS2/n8su5dMpIZ/wwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, reclassify after the trimming\n",
      "reclassifying HD 49\n",
      "There are 29 HDs still with both discontinuity problems\n",
      "Additionally, 77 of the originally discontig HDs are now contig but still have an enclave\n"
     ]
    }
   ],
   "source": [
    "print(\"Before addressing enclaves, let's triage the discontinuous HDs\")\n",
    "#this is the CANTRIM code####\n",
    "\n",
    "#for t in sPgenerator:\n",
    "#    isContig, smallP = isContiguous(filledHDvtdList[t],unitNbrs)\n",
    "#    if isContig:\n",
    "#        print(\"oops!\",t)\n",
    "maxNudgeDownPop = int(0.02 * aDP)\n",
    "minPostFixPop = int(0.95 * aDP)\n",
    "print(\"Now work on dropping smallish disconnected pieces that would keep us above\",minPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "print(\"we'll also trim any HD with total islands' pop <=\",maxNudgeDownPop)\n",
    "nOrigIslands = [0 for t in range(nHDs)]\n",
    "totalIslandPop = [0. for t in range(nHDs)]\n",
    "tryToTrim, canTrim, cantTrim = list(), list(), list()\n",
    "for jj, t in enumerate(sPgenerator):\n",
    "    if jj%200 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    currList, shedList, shedPop = HDunitList[t].copy(), list(),  0.\n",
    "    done,newList = isContiguous(currList,unitNbrs)\n",
    "    if not done:\n",
    "        tryToTrim.append(t)\n",
    "        while not done:\n",
    "            shedList += newList\n",
    "            shedPop += np.sum( [unitPop[u] for u in newList] )\n",
    "            currList = list (  set(currList).difference(set(newList ))  )\n",
    "            done, newList = isContiguous(currList, unitNbrs)\n",
    "            nOrigIslands[t] +=1\n",
    "            \n",
    "        totalIslandPop[t] = shedPop            \n",
    "        if shedPop <= maxNudgeDownPop or HDvPop[t] - shedPop >= minPostFixPop:\n",
    "            canTrim.append(t)\n",
    "            HDvPop[t] -= shedPop\n",
    "            HDunitList[t] = list (set(HDunitList[t]).difference(set(shedList)) )\n",
    "        else:\n",
    "            cantTrim.append(t)\n",
    "print(\"Out of\",len(sPgenerator),\"discontig HDs\",len(tryToTrim),\"had discontig HDs.\")\n",
    "print(\"Of these,\",len(canTrim),\"won't be under\",minPostFixPop,\"after all minor discontigys were shed, while\",\n",
    "      len(cantTrim),\"would be too underpopped if we trimmed the discontig pieces\")\n",
    "plt.scatter([HDvPop[t] + totalIslandPop[t] for t in canTrim],[HDvPop[t] for t in canTrim])\n",
    "plt.scatter([HDvPop[t]                     for t in cantTrim],[HDvPop[t] for t in cantTrim],marker=\"x\")\n",
    "print(\"here is adjusted pop by original pop for those we trimmed and those we didn't (x)\")\n",
    "plt.plot([0.9*aDP, 1.1*aDP],[aDP, aDP], ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, reclassify after the trimming\")\n",
    "badDiscoList, stillHasEnclave = list(), list()\n",
    "for i, t in enumerate(sPgenerator):    \n",
    "    if i%500 == 0:\n",
    "        print(\"reclassifying HD\",t)\n",
    "    unbroken, noEnclave, __, ____ = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if not unbroken:\n",
    "        badDiscoList.append(t)  #will do a major triage on these later\n",
    "    if unbroken and not noEnclave:\n",
    "        stillHasEnclave.append(t)\n",
    "print(\"There are\",len(badDiscoList),\"HDs still with both discontinuity problems\")\n",
    "print(\"Additionally,\",len(stillHasEnclave),\"of the originally discontig HDs are now contig but still have an enclave\")\n",
    "eLgenerator += stillHasEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "4037f8cb-661b-4032-bfb9-e147975e3bbb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/13/24 - classify further: ID those with adjoiners intersecting the map boundary vs internal islands\n",
      "working on enclave-generating HD 0\n",
      "working on enclave-generating HD 806\n",
      "working on enclave-generating HD 1405\n",
      "working on enclave-generating HD 2131\n",
      "Out of 1861 HDpolys that generated enclaves, 0 had contiguous adjrs, while 1369 neighbored a state boundary while 492 had only internal enclaves\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to print the total enclave pops for all enclavy HDs.  This takes a few min; not required 0\n"
     ]
    }
   ],
   "source": [
    "print(\"1/13/24 - classify further: ID those with adjoiners intersecting the map boundary vs internal islands\")\n",
    "internals, edgers, nOK = list(), list(), 0\n",
    "for i,t in enumerate(eLgenerator):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on enclave-generating HD\",t)\n",
    "    twoNbrs = get2nbrs(HDunitList[t],unitNbrs)\n",
    "    isContig, adjSublist = isContiguous(twoNbrs,unitNbrs)\n",
    "    if isContig:\n",
    "        nOK +=1\n",
    "    else:\n",
    "        if len (set(getAdjoiners(HDunitList[t],unitNbrs)).intersection(set(borderUnits)))  > 0:\n",
    "            edgers.append(t)\n",
    "        else:\n",
    "            internals.append(t)\n",
    "print(\"Out of\",len(eLgenerator),\"HDpolys that generated enclaves,\",nOK,\"had contiguous adjrs, while\",len(edgers),\n",
    "      \"neighbored a state boundary while\",len(internals),\"had only internal enclaves\")\n",
    " \n",
    "plotEnclaves = input(\"enter 1 to print the total enclave pops for all enclavy HDs.  This takes a few min; not required\")\n",
    "if str(plotEnclaves) == str(1):\n",
    "    for i,t in enumerate(internals): \n",
    "        if i%500 == 0:\n",
    "            print(\"computing full enclave lists for HD\",t)\n",
    "        fullEnclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        tEpop = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in fullEnclaveLists ] ) \n",
    "        plt.scatter(HDvPop[t],tEpop)\n",
    "    plt.plot([aDP,aDP],[0,5000],ls=\"--\")\n",
    "    print(\"Here are the total enclave pops for enclaving HDs not touching the state boundary vs. the original HD pop\")\n",
    "    plt.show()    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "id": "05f929ce-4f94-47a6-baf4-60c5a89e2ae5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's fill in all enclaves that won't put us over 782928 district pop vs 745646 target\n",
      "working on enclave-y HD 4 . We have evaluated 0 of 1861 enclavy HDs.Time is now 0\n",
      "working on enclave-y HD 700 . We have evaluated 100 of 1861 enclavy HDs.Time is now 5\n",
      "working on enclave-y HD 1045 . We have evaluated 200 of 1861 enclavy HDs.Time is now 9\n",
      "working on enclave-y HD 1263 . We have evaluated 300 of 1861 enclavy HDs.Time is now 13\n",
      "working on enclave-y HD 2018 . We have evaluated 400 of 1861 enclavy HDs.Time is now 19\n",
      "working on enclave-y HD 12 . We have evaluated 500 of 1861 enclavy HDs.Time is now 26\n",
      "working on enclave-y HD 185 . We have evaluated 600 of 1861 enclavy HDs.Time is now 30\n",
      "working on enclave-y HD 392 . We have evaluated 700 of 1861 enclavy HDs.Time is now 35\n",
      "working on enclave-y HD 705 . We have evaluated 800 of 1861 enclavy HDs.Time is now 39\n",
      "working on enclave-y HD 873 . We have evaluated 900 of 1861 enclavy HDs.Time is now 43\n",
      "working on enclave-y HD 1073 . We have evaluated 1000 of 1861 enclavy HDs.Time is now 46\n",
      "working on enclave-y HD 1298 . We have evaluated 1100 of 1861 enclavy HDs.Time is now 49\n",
      "working on enclave-y HD 1486 . We have evaluated 1200 of 1861 enclavy HDs.Time is now 53\n",
      "working on enclave-y HD 1680 . We have evaluated 1300 of 1861 enclavy HDs.Time is now 57\n",
      "working on enclave-y HD 1864 . We have evaluated 1400 of 1861 enclavy HDs.Time is now 63\n",
      "working on enclave-y HD 2009 . We have evaluated 1500 of 1861 enclavy HDs.Time is now 68\n",
      "working on enclave-y HD 2183 . We have evaluated 1600 of 1861 enclavy HDs.Time is now 73\n",
      "working on enclave-y HD 2404 . We have evaluated 1700 of 1861 enclavy HDs.Time is now 78\n",
      "working on enclave-y HD 380 . We have evaluated 1800 of 1861 enclavy HDs.Time is now 84\n",
      "Out of 1861 HDs with enclaves 1861 had enclaves.\n",
      "Of these, 1795 wouldn't be over 782928 if all enclaves filled, while 66 were too populous\n",
      "here is enclave pop by final pop for those we filled\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"CANFILL\" CODE  #check if sum of enclave pops small enough to add\n",
    "maxNudgeUpPop = int(0.02 * aDP)\n",
    "maxPostFixPop = int(1.05 * aDP)\n",
    "print(\"Now, let's fill in all enclaves that won't put us over\",maxPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "nOrigEnclaves = [0 for t in range(nHDs)]\n",
    "totalEnclavePop = [0. for t in range(nHDs)]\n",
    "tryToFill, canFill, cantFill = list(), list(), list()\n",
    "startTime = time.time()  #takes about xx sec per HD triage\n",
    "        \n",
    "for iii, t in enumerate(internals + edgers):\n",
    "    if iii%100 == 0:\n",
    "        print(\"working on enclave-y HD\",t,\". We have evaluated\",iii,\"of\",len(internals+edgers),\"enclavy HDs.Time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and not noEnclave:  #\"and unbroken\" new 1/15 - discontig HDs will usually appear to have enclaves.  We'll fix these in later block\n",
    "        tryToFill.append(t)\n",
    "        enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        nOrigEnclaves[t] = len(enclaveLists)\n",
    "        totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "        if HDvPop[t] + totalEnclavePop[t] <= maxPostFixPop or totalEnclavePop[t] < maxNudgeUpPop:\n",
    "            canFill.append(t)\n",
    "            for eL in enclaveLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "        else:\n",
    "            cantFill.append(t)\n",
    "print(\"Out of\",len(internals+edgers),\"HDs with enclaves\",len(tryToFill),\"had enclaves.\")\n",
    "print(\"Of these,\",len(canFill),\"wouldn't be over\",maxPostFixPop,\"if all enclaves filled, while\",len(cantFill),\"were too populous\")\n",
    "plt.scatter([HDvPop[t] for t in canFill],[totalEnclavePop[t] for t in canFill])\n",
    "print(\"here is enclave pop by final pop for those we filled\")\n",
    "plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "8987ad1f-d372-415d-a2ec-8fc6736c5102",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "492 1369 91 61\n",
      "63 66 1795\n"
     ]
    }
   ],
   "source": [
    "print(len(internals),len(edgers),len(doubleTroubleList),len(set(edgers).intersection(set(doubleTroubleList))))\n",
    "print(len(set(edgers).difference(set(canFill))) ,len(cantFill) , len(canFill))\n",
    "#610 3379 2187 1954\n",
    "#80 80 3909  for original MN option3 (assigned CCBs by captured area)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "id": "8fa887be-92e6-422a-8e80-e00fd3265aab",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "defining and displaying current unit use after above manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.08004 0.12285\n",
      "CCB cluster 0 = unit 2283 with pop 160963.0 now has use of 1.0026443763132276\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"defining and displaying current unit use after above manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "e9d50ef8-39b2-4e22-a11e-cabeda78721e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "savedHDunitList = [HDunitList[t].copy() for t in range(nHDs) ]  #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "b759b3c7-b8a3-4d2c-a8fe-50fa93b3e940",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#savedHDunitList = [HDunitList[t].copy() for t in range(nHDs) ]  #safekeeping\n",
    "HDunitList = [savedHDunitList[t].copy() for t in range(nHDs) ]   #restart\n",
    "HDvPop = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "551454fb-d57c-466f-8b31-39ccb2a728de",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are the HD centers for 66 cantFill HDs with border or big enclaves\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"here are the HD centers for\",len(cantFill),\"cantFill HDs with border or big enclaves\")\n",
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "for t in cantFill:\n",
    "    plotPoly(hdCP[t].buffer(0.1))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "5269a224-4a97-417c-99af-6a98df0087ae",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on avg unit-to-HDcp dist for HD 0\n",
      "working on avg unit-to-HDcp dist for HD 910\n",
      "working on avg unit-to-HDcp dist for HD 1759\n",
      "all unit-toHDcp distances computed\n"
     ]
    }
   ],
   "source": [
    "barredJettisonSet = set([2283] )  #lock in the clusters  #update this for each state - see CCB report 3 blocks up\n",
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "print(\"all unit-toHDcp distances computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "6e2e44bd-a084-42f6-b533-5dc6d21912a9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this code will solve large enclaves so HD and complement are contiguous for 66 HDs\n",
      "working on HD 95 cantFill 0 of 66 .Time is now 0\n",
      "working on HD 1290 cantFill 20 of 66 .Time is now 0\n",
      "working on HD 1727 cantFill 40 of 66 .Time is now 0\n",
      "working on HD 2304 cantFill 60 of 66 .Time is now 0\n",
      "after the MustFree code run, we have the following for cluster usage\n",
      "current avg use and its sd are 1.08001 0.12228\n",
      "CCB cluster 0 = unit 2283 with pop 160963.0 now has use of 1.0026443763132276\n"
     ]
    },
    {
     "data": {
      "image/png": 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wAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADDekAJLVVWVUlNTFRMTo6ysLB0+fPiK43ft2qWZM2cqJiZGs2fP1r59+y4Z88EHH+hb3/qW4uPjFRsbq3nz5unkyZNDaQ8AAIQZnwNLbW2t7Ha7Kioq1NzcrPT0dOXl5am9vd3r+EOHDmnJkiV64okndPToUeXn5ys/P1/Hjh3zjPnf//1fLViwQDNnzlRDQ4Pee+89rVu3TjExMUM/MwAAEDYi3G6325cDsrKyNG/ePG3btk2SNDAwoJSUFK1YsUJr1qy5ZHxBQYFcLpf27Nnj2ff1r39dGRkZqq6uliQ98sgjGj16tH75y18O6SQ6OzsVHx+vjo4OxcXFDakGQutYa4fu3/q29qxYoDRbfKjbgUH4swGEL1/ev326wtLb26umpibl5uZ+VSAyUrm5uWpsbPR6TGNj46DxkpSXl+cZPzAwoL179+q2225TXl6eEhMTlZWVpd27d1+2j56eHnV2dg7aAABA+PIpsJw9e1b9/f1KSkoatD8pKUlOp9PrMU6n84rj29vb1dXVpeeee06LFi3Sa6+9poceekjf/va3dfDgQa81HQ6H4uPjPVtKSoovpwEAAIaZkN8lNDAwIEl68MEH9YMf/EAZGRlas2aN7r//fs9HRn+urKxMHR0dnu3UqVPBbBkAAATZKF8GT5gwQVFRUWpraxu0v62tTcnJyV6PSU5OvuL4CRMmaNSoUZo1a9agMbfffrvefvttrzWjo6MVHR3tS+sAAGAY8ymwWCwWzZkzR/X19crPz5f05RWS+vp6lZSUeD0mOztb9fX1Ki0t9ezbv3+/srOzPTXnzZun48ePDzrud7/7nW6++WZf2kOQtJ7v1jlXr19rnmjv8ms9AEB48SmwSJLdbldRUZHmzp2rzMxMVVZWyuVyqbi4WJJUWFgom80mh8MhSVq5cqVycnK0adMmLV68WDt37tSRI0e0fft2T83Vq1eroKBA99xzj+69917V1dXpv/7rv9TQ0OCfs4TftJ7vVu6mg+ru6/d7bevoKI2Ntfi9LgBg+PM5sBQUFOjMmTNav369nE6nMjIyVFdX51lYe/LkSUVGfrU0Zv78+aqpqVF5ebnWrl2r6dOna/fu3UpLS/OMeeihh1RdXS2Hw6GnnnpKM2bM0K9//WstWLDAD6cIfzrn6lV3X78qCzI0LXGMX2uPjbXIlmD1a00AQHjw+TksJuI5LMHDMzEQbPyZA8JXwJ7DAgAAEAoEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxhsV6gYA4FqcaO8KSN2xsRbZEqwBqQ3AfwgsAIw2NtYi6+golda2BKS+dXSUDqzKIbQAhiOwADCaLcGqA6tydM7V6/faJ9q7VFrbonOuXgILYDgCCwDj2RKsBApghGPRLQAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA43GXUJhqPd8dsNtAAQAINgJLGGo9363cTQfV3dcfkPrW0VEaG2sJSG0AALwhsIShc65edff1q7IgQ9MSx/i9Po8yBwAEG4EljE1LHKM0W3yo2wAA4Lqx6BYAABhvSIGlqqpKqampiomJUVZWlg4fPnzF8bt27dLMmTMVExOj2bNna9++fZcdu2zZMkVERKiysnIorQEAgDDk80dCtbW1stvtqq6uVlZWliorK5WXl6fjx48rMTHxkvGHDh3SkiVL5HA4dP/996umpkb5+flqbm5WWlraoLEvv/yy3nnnHU2aNGnoZwQAhgjU3XqsI8NI5HNg2bx5s5YuXari4mJJUnV1tfbu3asdO3ZozZo1l4zfsmWLFi1apNWrV0uSnn32We3fv1/btm1TdXW1Z1xra6tWrFihV199VYsXLx7q+QCAzwJxu/4fXL1a9sumgNytZx0dpQOrcggtGFF8Ciy9vb1qampSWVmZZ19kZKRyc3PV2Njo9ZjGxkbZ7fZB+/Ly8rR7927PzwMDA3r88ce1evVq3XHHHb60BABDNjbWIuvoKJXWtgSkvnV0lP7f9zI13o+PATjR3qXS2hadc/USWDCi+BRYzp49q/7+fiUlJQ3an5SUpA8//NDrMU6n0+t4p9Pp+fnHP/6xRo0apaeeeuqa+ujp6VFPT4/n587Ozms9BQDwsCVYdWBVTkA+tpH46Abwp5Df1tzU1KQtW7aoublZERER13SMw+HQhg0bAtwZgJHAlmAlVADDgE93CU2YMEFRUVFqa2sbtL+trU3Jyclej0lOTr7i+Lfeekvt7e2aMmWKRo0apVGjRunTTz/VqlWrlJqa6rVmWVmZOjo6PNupU6d8OQ0AADDM+BRYLBaL5syZo/r6es++gYEB1dfXKzs72+sx2dnZg8ZL0v79+z3jH3/8cb333ntqaWnxbJMmTdLq1av16quveq0ZHR2tuLi4QRsAAAhfPn8kZLfbVVRUpLlz5yozM1OVlZVyuVyeu4YKCwtls9nkcDgkSStXrlROTo42bdqkxYsXa+fOnTpy5Ii2b98uSRo/frzGjx8/6HeMHj1aycnJmjFjxvWeHwAACAM+B5aCggKdOXNG69evl9PpVEZGhurq6jwLa0+ePKnIyK8u3MyfP181NTUqLy/X2rVrNX36dO3evfuSZ7AAAABczpAW3ZaUlKikpMTraw0NDZfse/jhh/Xwww9fc/3/+7//G0pbAAAgTPFdQgAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxRoW6AQCA7060dwWk7thYi2wJ1oDUBq4HgQUAhpGxsRZZR0eptLYlIPWto6N0YFUOoQXGIbAAwDBiS7DqwKocnXP1+r32ifYulda26Jyrl8AC4xBYAGCYsSVYCRQYcVh0CwAAjEdgAQAAxiOwAAAA4xFYAACA8Vh0G2Kt57v9vto/UM9nADAyBOLvEJ7vgutFYAmh1vPdyt10UN19/X6vbR0dpbGxFr/XBRC+AvmMF57vgutFYAmhc65edff1q7IgQ9MSx/i1Nv83A8BXgXrGC893gT8QWAwwLXGM0mzxoW4DAHjGC4zFolsAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgvCEFlqqqKqWmpiomJkZZWVk6fPjwFcfv2rVLM2fOVExMjGbPnq19+/Z5Xuvr69MPf/hDzZ49W7GxsZo0aZIKCwt1+vTpobQGAADCkM+Bpba2Vna7XRUVFWpublZ6erry8vLU3t7udfyhQ4e0ZMkSPfHEEzp69Kjy8/OVn5+vY8eOSZI+++wzNTc3a926dWpubtZLL72k48eP61vf+tb1nRkAAAgbEW632+3LAVlZWZo3b562bdsmSRoYGFBKSopWrFihNWvWXDK+oKBALpdLe/bs8ez7+te/royMDFVXV3v9Hf/93/+tzMxMffrpp5oyZcpVe+rs7FR8fLw6OjoUFxfny+mE1LHWDt2/9W3tWbFAabb4ULcDAAHB33W4HF/ev326wtLb26umpibl5uZ+VSAyUrm5uWpsbPR6TGNj46DxkpSXl3fZ8ZLU0dGhiIgIJSQkeH29p6dHnZ2dgzYAABC+fAosZ8+eVX9/v5KSkgbtT0pKktPp9HqM0+n0afznn3+uH/7wh1qyZMll05bD4VB8fLxnS0lJ8eU0AADAMGPUXUJ9fX367ne/K7fbrZ/97GeXHVdWVqaOjg7PdurUqSB2CQAAgm2UL4MnTJigqKgotbW1Ddrf1tam5ORkr8ckJydf0/iLYeXTTz/V66+/fsXPsqKjoxUdHe1L6wAAYBjz6QqLxWLRnDlzVF9f79k3MDCg+vp6ZWdnez0mOzt70HhJ2r9//6DxF8PKRx99pAMHDmj8+PG+tAUAAMKcT1dYJMlut6uoqEhz585VZmamKisr5XK5VFxcLEkqLCyUzWaTw+GQJK1cuVI5OTnatGmTFi9erJ07d+rIkSPavn27pC/Dyl/91V+publZe/bsUX9/v2d9y7hx42SxWPx1rgAAYJjyObAUFBTozJkzWr9+vZxOpzIyMlRXV+dZWHvy5ElFRn514Wb+/PmqqalReXm51q5dq+nTp2v37t1KS0uTJLW2tuqVV16RJGVkZAz6XW+88YYWLlw4xFMDAADhwufAIkklJSUqKSnx+lpDQ8Ml+x5++GE9/PDDXsenpqbKx0fBAACAEcaou4QAAAC8IbAAAADjEVgAAIDxCCwAAMB4BBYAAGC8Id0lBACAr060dwWk7thYi2wJ1oDUhjkILACAgBoba5F1dJRKa1sCUt86OkoHVuUQWsIcgQUAEFC2BKsOrMrROVev32ufaO9SaW2Lzrl6CSxhjsACAAg4W4KVQIHrwqJbAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiP7xICAAx7J9q7/F5zbKyF7z8yCIEFADBsjY21yDo6SqW1LX6vbR0dpQOrcggthiCwAACGLVuCVQdW5eicq9evdU+0d6m0tkXnXL0EFkMQWAAAw5otwUqoGAFYdAsAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHjcJXQNWs93+/2WOSkwDzoCACAcEViuovV8t3I3HVR3X39A6ltHR2lsrCUgtQEACBcElqs45+pVd1+/KgsyNC1xjN/r8+hnAACujsByjaYljlGaLT7UbQAAMCIRWAAAuIxArTXk6rrvCCwAAPyZQH6posQXKw4FgQUAgD8TqC9VlPhixaEisAAA4AVfqmgWHhwHAACMR2ABAADGI7AAAADjEVgAAIDxWHQLAEAIBOIZL+H8fBcCCwAAQRTIZ7yE8/NdCCwAAARRoJ7xEu7PdyGwAAAQZDzjxXdDWnRbVVWl1NRUxcTEKCsrS4cPH77i+F27dmnmzJmKiYnR7NmztW/fvkGvu91urV+/XhMnTpTValVubq4++uijobQGAADCkM+Bpba2Vna7XRUVFWpublZ6erry8vLU3t7udfyhQ4e0ZMkSPfHEEzp69Kjy8/OVn5+vY8eOecb88z//s37yk5+ourpa7777rmJjY5WXl6fPP/986GcGAADChs+BZfPmzVq6dKmKi4s1a9YsVVdX64YbbtCOHTu8jt+yZYsWLVqk1atX6/bbb9ezzz6ru+66S9u2bZP05dWVyspKlZeX68EHH9TXvvY1vfDCCzp9+rR27959XScHAADCg09rWHp7e9XU1KSysjLPvsjISOXm5qqxsdHrMY2NjbLb7YP25eXlecLIJ598IqfTqdzcXM/r8fHxysrKUmNjox555JFLavb09Kinp8fzc0dHhySps7PTl9O5Jl0XOjXQ85m6LnSqszPC7/UBAPCHi+9X7338e3Vd8P/74U1jonVTXIxfa15833a73Vcd61NgOXv2rPr7+5WUlDRof1JSkj788EOvxzidTq/jnU6n5/WL+y435s85HA5t2LDhkv0pKSnXdiJDkF0ZsNIAAPjNY5Wh7sB3Fy5cUHx8/BXHDMu7hMrKygZdtRkYGNAf//hHjR8/XhER13YVpLOzUykpKTp16pTi4uIC1arxmAfmQGIOJOZAYg4k5kAK7hy43W5duHBBkyZNuupYnwLLhAkTFBUVpba2tkH729ralJyc7PWY5OTkK46/+M+2tjZNnDhx0JiMjAyvNaOjoxUdHT1oX0JCgi+n4hEXFzdi/1D+KeaBOZCYA4k5kJgDiTmQgjcHV7uycpFPi24tFovmzJmj+vp6z76BgQHV19crOzvb6zHZ2dmDxkvS/v37PeOnTp2q5OTkQWM6Ozv17rvvXrYmAAAYWXz+SMhut6uoqEhz585VZmamKisr5XK5VFxcLEkqLCyUzWaTw+GQJK1cuVI5OTnatGmTFi9erJ07d+rIkSPavn27JCkiIkKlpaX60Y9+pOnTp2vq1Klat26dJk2apPz8fP+dKQAAGLZ8DiwFBQU6c+aM1q9fL6fTqYyMDNXV1XkWzZ48eVKRkV9duJk/f75qampUXl6utWvXavr06dq9e7fS0tI8Y55++mm5XC59//vf1/nz57VgwQLV1dUpJsa/q5H/VHR0tCoqKi75aGmkYR6YA4k5kJgDiTmQmAPJ3DmIcF/LvUQAAAAhNKRH8wMAAAQTgQUAABiPwAIAAIxHYAEAAMYL68BSVVWl1NRUxcTEKCsrS4cPH77i+MrKSs2YMUNWq1UpKSn6wQ9+MOy/MdqXOejr69M//MM/6NZbb1VMTIzS09NVV1cXxG79780339QDDzygSZMmKSIi4pq+ULOhoUF33XWXoqOjNW3aNP3iF78IeJ+B5Osc/P73v9ejjz6q2267TZGRkSotLQ1Kn4Hm6zy89NJLuu+++3TTTTcpLi5O2dnZevXVV4PTbID4Ogdvv/227r77bo0fP15Wq1UzZ87Uv/7rvwan2QAZyt8JF/3mN7/RqFGjLvtQ0+HC1zloaGhQRETEJdvlvj4nUMI2sNTW1sput6uiokLNzc1KT09XXl6e2tvbvY6vqanRmjVrVFFRoQ8++ED//u//rtraWq1duzbInfuPr3NQXl6uf/u3f9PWrVv1/vvva9myZXrooYd09OjRIHfuPy6XS+np6aqqqrqm8Z988okWL16se++9Vy0tLSotLdWTTz45rN+ofJ2Dnp4e3XTTTSovL1d6enqAuwseX+fhzTff1H333ad9+/apqalJ9957rx544IER9d9DbGysSkpK9Oabb+qDDz5QeXm5ysvLPc/RGo58nYOLzp8/r8LCQv3FX/xFgDoLnqHOwfHjx/X73//esyUmJgaow8twh6nMzEz38uXLPT/39/e7J02a5HY4HF7HL1++3P2Nb3xj0D673e6+++67A9pnIPk6BxMnTnRv27Zt0L5vf/vb7sceeyygfQaLJPfLL798xTFPP/20+4477hi0r6CgwJ2XlxfAzoLnWubgT+Xk5LhXrlwZsH5Cxdd5uGjWrFnuDRs2+L+hEBjqHDz00EPuv/7rv/Z/QyHgyxwUFBS4y8vL3RUVFe709PSA9hVM1zIHb7zxhluS+9y5c0Hp6XLC8gpLb2+vmpqalJub69kXGRmp3NxcNTY2ej1m/vz5ampq8nxk8vHHH2vfvn36y7/8y6D07G9DmYOenp5LHtZntVr19ttvB7RXkzQ2Ng6aM0nKy8u77Jxh5BgYGNCFCxc0bty4ULcSMkePHtWhQ4eUk5MT6laC6vnnn9fHH3+sioqKULcSUhkZGZo4caLuu+8+/eY3vwn67x+W39Z8NWfPnlV/f7/n6bsXJSUl6cMPP/R6zKOPPqqzZ89qwYIFcrvd+uKLL7Rs2bJh+5HQUOYgLy9Pmzdv1j333KNbb71V9fX1eumll9Tf3x+Mlo3gdDq9zllnZ6e6u7tltVpD1BlCbePGjerq6tJ3v/vdULcSdJMnT9aZM2f0xRdf6JlnntGTTz4Z6paC5qOPPtKaNWv01ltvadSosHzLvKqJEyequrpac+fOVU9Pj37+859r4cKFevfdd3XXXXcFrY+wvMIyFA0NDfqnf/on/fSnP1Vzc7Neeukl7d27V88++2yoWwuaLVu2aPr06Zo5c6YsFotKSkpUXFw86KsWgJGopqZGGzZs0K9+9avgf25vgLfeektHjhxRdXW1Kisr9eKLL4a6paDo7+/Xo48+qg0bNui2224LdTshM2PGDP3t3/6t5syZo/nz52vHjh2aP39+0Bdgh2VcnDBhgqKiotTW1jZof1tbm5KTk70es27dOj3++OOe/3OYPXu25/uN/v7v/37YvWkPZQ5uuukm7d69W59//rn+8Ic/aNKkSVqzZo1uueWWYLRshOTkZK9zFhcXx9WVEWrnzp168skntWvXrks+Lhwppk6dKunLvxfb2tr0zDPPaMmSJSHuKvAuXLigI0eO6OjRoyopKZH05UeDbrdbo0aN0muvvaZvfOMbIe4yNDIzM4O+XGB4vQtfI4vFojlz5qi+vt6zb2BgQPX19crOzvZ6zGeffXZJKImKipIkuYfh1y0NZQ4uiomJkc1m0xdffKFf//rXevDBBwPdrjGys7MHzZkk7d+//6pzhvD04osvqri4WC+++KIWL14c6naMMDAwoJ6enlC3ERRxcXH6n//5H7W0tHi2ZcuWacaMGWppaVFWVlaoWwyZlpYWTZw4Mai/MyyvsEiS3W5XUVGR5s6dq8zMTFVWVsrlcqm4uFiSVFhYKJvNJofDIUl64IEHtHnzZt15553KysrSiRMntG7dOj3wwAOe4DLc+DoH7777rlpbW5WRkaHW1lY988wzGhgY0NNPPx3K07guXV1dOnHihOfnTz75RC0tLRo3bpymTJmisrIytba26oUXXpAkLVu2TNu2bdPTTz+t733ve3r99df1q1/9Snv37g3VKVw3X+dA+vIvo4vHnjlzRi0tLbJYLJo1a1aw2/cbX+ehpqZGRUVF2rJli7KysjzPnLBarYqPjw/JOVwvX+egqqpKU6ZM0cyZMyV9eav3xo0b9dRTT4Wkf3/wZQ4iIyOVlpY26PjExETFxMRcsn848fXPQWVlpaZOnao77rhDn3/+uX7+85/r9ddf12uvvRbcxkN6j1KAbd261T1lyhS3xWJxZ2Zmut955x3Pazk5Oe6ioiLPz319fe5nnnnGfeutt7pjYmLcKSkp7r/7u78L+W1c18uXOWhoaHDffvvt7ujoaPf48ePdjz/+uLu1tTUEXfvPxdvx/ny7eN5FRUXunJycS47JyMhwWywW9y233OJ+/vnng963Pw1lDryNv/nmm4Peuz/5Og85OTlXHD8c+ToHP/nJT9x33HGH+4YbbnDHxcW577zzTvdPf/pTd39/f2hOwA+G8t/DnwqH25p9nYMf//jHnvfGcePGuRcuXOh+/fXXg953hNs9DD/vAAAAI0pYrmEBAADhhcACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOP9f90SoAWEBvn7AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#THIS IS THE MUSTFREE CODE - for high-pop HDs with map-border enclaves, can't fill; \n",
    "#  must jettison some inHD map-boundary units to connect the enclave to the larger complement\n",
    "#For each HD to be triaged, define the list(s) of contiguous enclave units that are on the map boundary, \n",
    "#  and the in-HD map-boundary segments.  ID which in-HD MBS's adjoin one vs. two enclaves.\n",
    "#     Fill all internal enclaves, and all boundary enclaves < 0.05 aDP.\n",
    "#   Then each loop, look for boundary enclaves that can be filled without overpopping.\n",
    "#     If none, pick the 1/2 has-1-boundary-enclave-neighbor that is least painful to jettison to free an enclave.\n",
    "#       (Jettison score based on pop-to-Free and distance from HDcP)\n",
    "#         Update HDpop, HDlist, and enclave & HD-boundary associations, then re-loop\n",
    "# Later, we will swell-fill to square up pop (w/ checkEnclave) biasing toward close-to-hdCP, underused\n",
    "borderSet = set(borderUnits)\n",
    "debug, debugPlot = False, False\n",
    "startTime = time.time()  #takes about 1.5sec per HD triage\n",
    "clusterJettisonBoost = 3.  #this discourages jettisoning of underused clusters\n",
    "print(\"this code will solve large enclaves so HD and complement are contiguous for\",len(cantFill),\"HDs\")\n",
    "nEnclavesPerHD = [0 for t in range(nHDs)]\n",
    "HDenclaveLists = [list() for t in range(nHDs)]\n",
    "for iii,t in enumerate(cantFill):\n",
    "    if iii %20 == 0:\n",
    "        print(\"working on HD\",t,\"cantFill\",iii,\"of\",len(cantFill),\".Time is now\",int(time.time() - startTime) )\n",
    "    shedUs = list()    \n",
    "    enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "    nEnclavesPerHD[t] = len(enclaveLists)\n",
    "    HDenclaveLists[t] = enclaveLists.copy()\n",
    "    if debug:\n",
    "        print(\"pre-adjust HDpop for HD\",t,\"is\",HDvPop[t],\"I found\",len(enclaveLists),\"TOTAL enclaves\")\n",
    "    internalEnclaves, edgeEnclaves, combinedEnclBorderList = list(), list(), list()\n",
    "    for jjj, eL in enumerate(enclaveLists.copy() ):\n",
    "        enclaveBorderList = list ( set(eL).intersection(borderSet) )\n",
    "        if debug:\n",
    "            print(\"In enclave\",jjj,\"I found\",len(enclaveBorderList),\"units that were enclaved and are in the map borderSet\")\n",
    "        combinedEnclBorderList += enclaveBorderList\n",
    "        ePop = np.sum( [unitPop[u] for u in eL] )\n",
    "        if len(enclaveBorderList) == 0 or ePop < 0.05 * aDP:  #internal or small enclave.  Fill it\n",
    "            if ePop > 0:  #in a prev treatment, could be an empty (surrounded) unit that we don't care about\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += ePop\n",
    "            internalEnclaves.append(eL)\n",
    "        else:\n",
    "            edgeEnclaves.append(eL)\n",
    "    if debug:\n",
    "        print(\"Of these\",len(internalEnclaves),\"were internal or small, so I filled them, leaving\",\n",
    "              len(edgeEnclaves),\"non-small border = edge enclaves\" )\n",
    "    if debugPlot:\n",
    "        print(\"Here is the original HD, internal enclaves ('x') and non-small border enclaves by enclave no\")\n",
    "        plotPoly(hdCP[t].buffer(0.3))\n",
    "        for u in HDunitList[t]:\n",
    "            if unitPop[u] > 0:\n",
    "                plotPoly(unitGeom[u],0.2)\n",
    "        for L in internalEnclaves:\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u],1.5)\n",
    "                    plotCenter(\"x\",unitCP[u],8)\n",
    "        for L in edgeEnclaves: #############\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u])\n",
    "                    #plotCenter(\"e\",unitCP[u],8)\n",
    "        #plotPoly(MAP,0.4)\n",
    "        #plt.show()\n",
    "    enclaveLists, combinedEnclBorderSet = list(), set(combinedEnclBorderList)\n",
    "    if len(edgeEnclaves) > 0:\n",
    "        # Now, we order by chain connectivity of HD and enclave sublists to be H0-E0-H1-E1 ... En-Hn+1\n",
    "        nonHDborderSet = borderSet.difference(  set(HDunitList[t]) )\n",
    "        nonHDlongBorderSet = nonHDborderSet.difference(combinedEnclBorderSet) #long=non HD boundary excluding enclaves\n",
    "        remainingEnclBorderSet = combinedEnclBorderSet.copy()\n",
    "        remainingHDborderSet =   borderSet.intersection(set(HDunitList[t]) )\n",
    "        #Now find the \"HDender\" unit which borders the non-enclave nonHD boundary, then find opp end of this HD bdry piece\n",
    "        HDender = list(set(getAdjoiners(nonHDlongBorderSet,unitNbrs)).intersection(remainingHDborderSet) )[0]\n",
    "        firstHDborderSet = getContigFromStarter(HDender,remainingHDborderSet,unitNbrs)\n",
    "        HDstarter = list(set(getAdjoiners(remainingEnclBorderSet,unitNbrs)).intersection(firstHDborderSet))[0]\n",
    "        HDborderSublists = [ list(firstHDborderSet) ]\n",
    "        unused = [1 for eL in edgeEnclaves]\n",
    "        eLadjoiners = [getAdjoiners(eL,unitNbrs) for eL in edgeEnclaves ]\n",
    "        for j in range(len(edgeEnclaves)): #find the enclave with the most HDstarter neighbors (at least 1)\n",
    "            found = False\n",
    "            for i,eL in enumerate(edgeEnclaves):\n",
    "                if unused[i] == 1:\n",
    "                    HDadjSet = set(HDborderSublists[j]).intersection(set(eLadjoiners[i]))\n",
    "                    if len(HDadjSet) > 0:\n",
    "                        unused[i] = 0\n",
    "                        eNo = i\n",
    "                        found = True\n",
    "                        remainingEnclBorderSet = remainingEnclBorderSet.difference(set(edgeEnclaves[eNo]) )\n",
    "                        enclaveLists.append(edgeEnclaves[eNo])\n",
    "                        remainingHDborderSet = remainingHDborderSet.difference(set(HDborderSublists[j]) )\n",
    "                        HDstarter = list(set(eLadjoiners[i]).intersection(remainingHDborderSet))[0]       \n",
    "                        HDborderSublists.append(getContigFromStarter(HDstarter,remainingHDborderSet,unitNbrs) )\n",
    "                        break\n",
    "                if found:\n",
    "                    break\n",
    "\n",
    "        enclavePops = [np.sum([unitPop[u] for u in L]) for L in enclaveLists]\n",
    "        #print(\"prior to adjustments, border enclavePops are\",enclavePops)         \n",
    "\n",
    "        nHDBS, nEnclaves = len(HDborderSublists), len(enclaveLists)\n",
    "        popToFree, freeingCounties, freeingUnits = [0. for n in range(nHDBS)], [list() for n in range(nHDBS) \n",
    "                                                                               ],[list() for n in range(nHDBS)]\n",
    "        for j,L in enumerate(HDborderSublists):\n",
    "            for u in L:\n",
    "                if int(allUnits[u]) == allUnits[u]:  #this border unit is a vtd\n",
    "                    c = countyNo[parentVTDno[allUnits[u]]]   #countyNo[allUnits[u]]\n",
    "                    if c not in freeingCounties[j]:\n",
    "                        if countyPop[c] < 0.1 * aDP:  #plan to add all in-county pop\n",
    "                            freeingCounties[j].append(c)\n",
    "                        else:\n",
    "                            popToFree[j] += unitPop[u]\n",
    "                            freeingUnits[j].append(u)\n",
    "                else: #border unit is a full county or cluster, or in a dense county.  Add the whole unit pop\n",
    "                    popToFree[j] += unitPop[u]\n",
    "                    freeingUnits[j].append(u)\n",
    "            for c in freeingCounties[j]:  #include ALL in-HD pop from each non-unit border county, not just its border units\n",
    "                #plotPoly(countyGeom[c],0.1)\n",
    "                for u in countyUnitList[c]:\n",
    "                    if u in HDunitList[t]:\n",
    "                        popToFree[j] += unitPop[u]\n",
    "                        freeingUnits[j].append(u)\n",
    "        freeingCP = [ getHDcp(  unitCP, unitPop, L) for L in freeingUnits ]\n",
    "        freeingScore = [ pTF/aDP - 0.5*freeingCP[j].distance(hdCP[t]) / avgDist[t] for j,pTF in enumerate(popToFree) ]\n",
    "        for j, fU in enumerate(freeingUnits):  #in above 0.5 is a fudgy\n",
    "            if len(barredJettisonSet.intersection(set(fU)) ) > 0: #has a cluster we want to hold onto\n",
    "                freeingScore[j] += clusterJettisonBoost #  ..so increase its score (make it harder to drop)\n",
    "        if debugPlot:\n",
    "            print(\"plotting the freeing units with negative numbers for each freeing group\")\n",
    "            for j,L in enumerate(freeingUnits):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        #plotPoly(unitGeom[u],0.5)\n",
    "                        plotCenter(\"-\"+str(j),unitGeom[u],6)\n",
    "                        pass\n",
    "            print(\"plotting the enclaveLists, with + numbers for each enclave\")\n",
    "            for j,L in enumerate(enclaveLists):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        plotPoly(unitGeom[u])\n",
    "                        plotCenter(j,unitCP[u],8)\n",
    "                        pass\n",
    "    \n",
    "    while len(enclaveLists) > 0:\n",
    "        if HDvPop[t] + np.min(enclavePops) < 1.05*aDP or np.min(enclavePops) < 0.05 * aDP:  #fill the smallest enclave\n",
    "            eNo = enclavePops.index(np.min(enclavePops))\n",
    "            HDunitList[t] += enclaveLists[eNo]\n",
    "            HDvPop[t] += enclavePops[eNo]\n",
    "            #print(t,\"=t. Absorbing enclave\",eNo,\"with pop\",enclavePops[eNo],\"HD total pop now\",int(HDfreePop[t]) )\n",
    "            enclaveBUs = list(set(enclaveLists[eNo]).intersection(set(borderUnits)) )\n",
    "            enclaveBpop = np.sum([unitPop[u] for u in enclaveBUs])\n",
    "            sNo, dropped_sNo = eNo, eNo+1\n",
    "            freeingScore[sNo] += freeingScore[sNo+1]+enclaveBpop/aDP\n",
    "            freeingUnits[sNo] += freeingUnits[sNo+1]+enclaveBUs\n",
    "            popToFree[sNo]    +=    popToFree[sNo+1]+enclaveBpop\n",
    "        else: #jettison one of the two end HD border lists; pick the less painful path to freedom\n",
    "            distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "            starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "            eNo, dropped_sNo = 0,0\n",
    "            if starterU not in freeingUnits[-1]:  #we can't drop the home unit, even to save an underused corner\n",
    "                if freeingScore[-1] < freeingScore[0] or starterU in freeingUnits[0]:\n",
    "                    eNo, dropped_sNo = len(enclaveLists)-1,len(enclaveLists)\n",
    "            barredIncluded0 = barredJettisonSet.intersection(set(freeingUnits[0]))\n",
    "            barredIncluded_1 = barredJettisonSet.intersection(set(freeingUnits[-1]))\n",
    "            #if len(barredIncluded0.union(barredIncluded_1)) > 0:\n",
    "            #    print(\"We are considering dropping an end unit to free from t\",t,\". Chosen, beg, end, scores are\")\n",
    "            #    print(dropped_sNo,barredIncluded0, barredIncluded_1, freeingScore[0], freeingScore[-1])\n",
    "            HDunitList[t] = list( set(HDunitList[t]).difference(set(freeingUnits[dropped_sNo]) ) )\n",
    "            HDvPop[t] -= popToFree[dropped_sNo]\n",
    "            #print(t,\"= t. Jettisoning HDborder\",dropped_sNo,\"with popToFree\",popToFree[dropped_sNo] )\n",
    "        del enclaveLists[eNo]\n",
    "        del enclavePops[eNo]\n",
    "        if debug:\n",
    "            print(t,\"= t. Now we have\",len(enclaveLists),\"left trapped.  Picked eNo, freeScores were\", eNo,freeingScore)\n",
    "        del freeingScore[dropped_sNo]\n",
    "        del freeingUnits[dropped_sNo]\n",
    "        del popToFree   [dropped_sNo] \n",
    "\n",
    "    #plotPoly(MAP,0.4)\n",
    "    if debugPlot:\n",
    "        plt.show()    \n",
    "        \n",
    "unitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t]*nDistricts\n",
    "print(\"after the MustFree code run, we have the following for cluster usage\")\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "ca9ce3cb-c150-4f39-ae55-f781d39d7f57",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "postMustFreeUnitList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "c32dd108-073b-48aa-99ce-fea50c8d023c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist([HDvPop[t] for t in popHDlist] )\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "f58fe2d0-3c62-412f-8984-ff5d67ea9b10",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After above work, re-classification of contiguity problems?\n",
      "working on HD 0\n",
      "working on HD 500\n",
      "working on HD 1000\n",
      "working on HD 1500\n",
      "working on HD 2000\n",
      "out of 2388 total HDs, there were 2358 17 0 13 HDs that were clean, discontig only, enclave-only, both problems after triage\n"
     ]
    }
   ],
   "source": [
    "#THIS is the FINDSTILLBROKEN code\n",
    "print(\"After above work, re-classification of contiguity problems?\")\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "1ef683a2-4429-4a91-b1ea-a9b0950dea22",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on current HD diam for HD number 0\n",
      "working on current HD diam for HD number 910\n",
      "working on current HD diam for HD number 1759\n",
      "here is the histogram of HD diameter = sqrt(area)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "HDdiam = [0. for t in range(nHDs)]\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on current HD diam for HD number\",t)\n",
    "    HDdiam[t] = (HDpoly[t].intersection(MAP) ).area ** 0.5\n",
    "plt.hist([HDdiam[t] for t in popHDlist])\n",
    "print(\"here is the histogram of HD diameter = sqrt(area)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "id": "45e3c17c-8c16-4bc5-b7fc-25b9250ed11a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we will regrow all disco'd HDs off by more than  37283 but less than 186411\n",
      "... from the contiguous block that contains the hdCP (not full regrowth).  We will swell out, avoiding enclaves\n",
      "This is a total of 30 HDs to triage in this block\n",
      "working on swell-filling discontig HD 177 our 1 th HD we think we can swell out of 30\n",
      "we partially regrew 21 HDs, leaving 9 to regrow from scratch\n"
     ]
    }
   ],
   "source": [
    "### THIS IS THE CANSWELL CODE\n",
    "print(\"Here, we will regrow all disco'd HDs off by more than \",int(aDP-minPostFixPop),\"but less than\",int(0.25*aDP) )\n",
    "print(\"... from the contiguous block that contains the hdCP (not full regrowth).  We will swell out, avoiding enclaves\")\n",
    "HDnAddedUnits = [0 for t in range(nHDs)]\n",
    "maxGap = 0.9 * np.median(unitPop)  #set a reasonable gap prior to picking the last block\n",
    "HDdiam = [HDpoly[t].area ** 0.5 for t in range(nHDs) ] #in case not defined before\n",
    "badDiscoList = list()\n",
    "nCanSwell = 0\n",
    "triageList = discontigOnly + bothProblems\n",
    "print(\"This is a total of\",len(triageList),\"HDs to triage in this block\")\n",
    " \n",
    "for i,t in enumerate(triageList): #canSwell\n",
    "    if i%40 == 0:\n",
    "        print(\"working on swell-filling discontig HD\",t,\"our\",i+1,\"th HD we think we can swell out of\",len(triageList) )\n",
    "    distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "    starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = getContigFromStarter(starterU, HDunitList[t], unitNbrs)\n",
    "    contigPop = np.sum( [ unitPop[u] for u in contigUs ] )\n",
    "    if contigPop < 0.50 * aDP or contigPop > 2.*aDP - minPostFixPop:  #formerly < 0.75 aDP\n",
    "        badDiscoList.append(t)\n",
    "    else: #rebuild from this big piece\n",
    "        nCanSwell +=1\n",
    "        gap = aDP - contigPop\n",
    "        origGap = gap\n",
    "        currList, addedList = contigUs.copy(), list()\n",
    "        adjoiners = getAdjoiners(currList, unitNbrs)\n",
    "        nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "        nearHDscore = [ (unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "            HDpoly[t]) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] for uu in adjoiners ] \n",
    "        stillGoing = True\n",
    "\n",
    "        while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "            while i < len(nearHDscore) and notYetPicked:        \n",
    "                listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "                unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "                canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "                if canAdd:\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't add any more units without creating an enclave\n",
    "            else: #we selected the best unit to add legally\n",
    "                gap -= unitPop[unitNoToAdd]\n",
    "                addedList.append(unitNoToAdd)  #so add it to our growing HD ...\n",
    "                currList.append( unitNoToAdd)\n",
    "                for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                    if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                        nearHDlist.append(uu)\n",
    "                        nearHDscore.append((unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "                            HDpoly[t]) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] )\n",
    "                del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "                del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "                for i, uu in enumerate(nearHDlist.copy()):\n",
    "                    if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                        del nearHDscore[nearHDlist.index(uu)]\n",
    "                        del nearHDlist[ nearHDlist.index(uu)]\n",
    "        for u in addedList:\n",
    "            unitUse[u] += HDweight[t] * nDistricts\n",
    "        for u in list( set(HDunitList[t]).difference(set(contigUs)) ):\n",
    "            unitUse[u] -= HDweight[t] * nDistricts       \n",
    "        HDunitList[t] = contigUs + addedList\n",
    "        HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "        HDnAddedUnits[t] = len(addedList)\n",
    "    \n",
    "badDiscoList += enclaveOnly\n",
    "print(\"we partially regrew\",nCanSwell,\"HDs, leaving\",len(badDiscoList),\"to regrow from scratch\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "id": "f57325dd-523c-466a-80cb-8e10b739b4ac",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previous avg use and its sd are 1.08001 0.12228\n",
      "defining and displaying current unit use after above manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.07886 0.12225\n",
      "CCB cluster 0 = unit 2283 with pop 160963.0 now has use of 0.9976916254675767\n"
     ]
    },
    {
     "data": {
      "image/png": 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xCCwAAMB4I8LdAAaflvPd6nD2BrXmqbaLQa0HABhaCCzwS8v5buVtOazuvv6g17aOjNLYWEvQ6wIABj8CC/zS4exVd1+/KgoyNC1hdFBrj421KHmMNag1AQBDA4EFAZmWMFppyfHhbgMAMEyw6BYAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4wUUWCorK5WamqqYmBhlZWXp6NGjVx2/Z88ezZw5UzExMZozZ472799/2ZgPP/xQ3/72txUfH6/Y2FgtWLBAp0+fDqQ9AAAwxPgdWGpqamSz2bRp0yY1NTUpPT1d+fn5amtr8zn+yJEjWr58uR577DEdP35cS5cu1dKlS3XixAnPmP/5n//RwoULNXPmTNXX1+vXv/61NmzYoJiYmMBnBgAAhowIt9vt9ueArKwsLViwQDt27JAkuVwupaSkaNWqVVq3bt1l4wsKCuR0OrVv3z7Pvq9//evKyMhQVVWVJOmhhx7SyJEj9a//+q8BTaKrq0vx8fHq7OxUXFxcQDVwfU60dOq+7e9q36qFSkuOD3c7GAb4MwcMXf58fvt1hqW3t1eNjY3Ky8v7qkBkpPLy8tTQ0ODzmIaGBq/xkpSfn+8Z73K59MYbb+j2229Xfn6+EhISlJWVpb17916xj56eHnV1dXltAABg6PIrsJw7d079/f1KTEz02p+YmCiHw+HzGIfDcdXxbW1tunjxon7wgx9o8eLFevPNN/Xggw/qO9/5jg4fPuyzpt1uV3x8vGdLSUnxZxoAAGCQCftVQi6XS5L0wAMP6KmnnlJGRobWrVun++67z/OV0Z8qKytTZ2enZztz5sxAtgwAAAbYCH8GT5gwQVFRUWptbfXa39raqqSkJJ/HJCUlXXX8hAkTNGLECM2ePdtrzKxZs/Tuu+/6rBkdHa3o6Gh/WgcAAIOYX2dYLBaL5s2bp7q6Os8+l8uluro6ZWdn+zwmOzvba7wkHThwwDPeYrFowYIFOnnypNeY3/72t7rlllv8aQ8AAAxRfp1hkSSbzaaioiLNnz9fmZmZqqiokNPpVHFxsSSpsLBQycnJstvtkqTVq1crNzdXW7Zs0ZIlS7R7924dO3ZMO3fu9NRcu3atCgoKdPfdd+uee+5RbW2t/vM//1P19fXBmSUAABjU/A4sBQUFam9v18aNG+VwOJSRkaHa2lrPwtrTp08rMvKrEzc5OTmqrq5WeXm51q9fr+nTp2vv3r1KS0vzjHnwwQdVVVUlu92uJ598UjNmzNAvfvELLVy4MAhTBAAAg53f92ExEfdhGTjcEwMDjT9zwNAVsvuwAAAAhAOBBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYb0S4GwCAcGo5360OZ29Iao+NtSh5jDUktYHhhsACYNhqOd+tvC2H1d3XH5L61pFROrgml9ACBAGBBcCw1eHsVXdfvyoKMjQtYXRQa59qu6jSmmZ1OHsJLEAQEFgADHvTEkYrLTk+3G0AuAoCC4BB4VTbxUFRE0BoEFgAGG1srEXWkVEqrWkOSX3ryCiNjbWEpDaA4CGwADBa8hirDq7J5UoeYJgjsAAwXvIYK6ECGOa4cRwAADAegQUAABiPr4QAIIRCcSUS624wHBFYACAEQnl1E3fQxXAUUGCprKzUCy+8IIfDofT0dG3fvl2ZmZlXHL9nzx5t2LBBv//97zV9+nQ9//zz+ta3vuVz7IoVK/STn/xEL774okpLSwNpDwDCLlRXN3EHXQxXfgeWmpoa2Ww2VVVVKSsrSxUVFcrPz9fJkyeVkJBw2fgjR45o+fLlstvtuu+++1RdXa2lS5eqqalJaWlpXmNfe+01vffee5o0aVLgMwIAQ3B1ExA8fi+63bp1q5544gkVFxdr9uzZqqqq0qhRo7Rr1y6f47dt26bFixdr7dq1mjVrlp577jnNnTtXO3bs8BrX0tKiVatW6d///d81cuTIwGYDAACGJL8CS29vrxobG5WXl/dVgchI5eXlqaGhwecxDQ0NXuMlKT8/32u8y+XSo48+qrVr1+qOO+64Zh89PT3q6ury2gAAwNDlV2A5d+6c+vv7lZiY6LU/MTFRDofD5zEOh+Oa459//nmNGDFCTz755HX1YbfbFR8f79lSUlL8mQYAABhkwn4flsbGRm3btk0/+9nPFBERcV3HlJWVqbOz07OdOXMmxF0CAIBw8iuwTJgwQVFRUWptbfXa39raqqSkJJ/HJCUlXXX8O++8o7a2Nk2ZMkUjRozQiBEj9Omnn2rNmjVKTU31WTM6OlpxcXFeGwAAGLr8CiwWi0Xz5s1TXV2dZ5/L5VJdXZ2ys7N9HpOdne01XpIOHDjgGf/oo4/q17/+tZqbmz3bpEmTtHbtWv3yl7/0dz4AAGAI8vuyZpvNpqKiIs2fP1+ZmZmqqKiQ0+lUcXGxJKmwsFDJycmy2+2SpNWrVys3N1dbtmzRkiVLtHv3bh07dkw7d+6UJI0fP17jx4/3+h0jR45UUlKSZsyYcaPzAwAAQ4DfgaWgoEDt7e3auHGjHA6HMjIyVFtb61lYe/r0aUVGfnXiJicnR9XV1SovL9f69es1ffp07d2797J7sAAAAFxJQHe6LSkpUUlJic/X6uvrL9u3bNkyLVu27Lrr//73vw+kLQAAMESF/SohAACAayGwAAAA4xFYAACA8QgsAADAeAEtuoX5Ws53B/2x9tKXj7YHAGCgEViGoJbz3crbcljdff0hqW8dGaWxsZaQ1AYAwBcCyxDU4exVd1+/KgoyNC1hdNDrj421KHmMNeh1AQC4EgLLEDYtYbTSkuPD3QYAADeMRbcAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHjc6RYABqFQPYiUR2/AVAQWABhExsZaZB0ZpdKa5pDUt46M0sE1uYQWGIfAAgCDSPIYqw6uyVWHszfotU+1XVRpTbM6nL0EFhiHwAIAg0zyGCuBAsMOgQUA4CUU62NYG4MbRWABAEgK7foY1sbgRhFYAACSQrc+hrUxCAYCCwDAg/UxMBU3jgMAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGC8gAJLZWWlUlNTFRMTo6ysLB09evSq4/fs2aOZM2cqJiZGc+bM0f79+z2v9fX16fvf/77mzJmj2NhYTZo0SYWFhTp79mwgrQEAgCFohL8H1NTUyGazqaqqSllZWaqoqFB+fr5OnjyphISEy8YfOXJEy5cvl91u13333afq6motXbpUTU1NSktL02effaampiZt2LBB6enp6ujo0OrVq/Xtb39bx44dC8okTdZyvlsdzt6g1jzVdjGo9QAACLcIt9vt9ueArKwsLViwQDt27JAkuVwupaSkaNWqVVq3bt1l4wsKCuR0OrVv3z7Pvq9//evKyMhQVVWVz9/xX//1X8rMzNSnn36qKVOmXLOnrq4uxcfHq7OzU3Fxcf5MJ6xazncrb8thdff1B722dWSUDq7JVfIYa9BrA4A/TrR06r7t72rfqoVKS44PdzswiD+f336dYent7VVjY6PKyso8+yIjI5WXl6eGhgafxzQ0NMhms3nty8/P1969e6/4ezo7OxUREaExY8b4fL2np0c9PT2en7u6uq5/EgbpcPaqu69fFQUZmpYwOqi1x8ZaCCsAgCHDr8By7tw59ff3KzEx0Wt/YmKiPvroI5/HOBwOn+MdDofP8Z9//rm+//3va/ny5VdMW3a7Xc8++6w/rRttWsJo/qsDAICrMOoqob6+Pn33u9+V2+3Wj3/84yuOKysrU2dnp2c7c+bMAHYJAAAGml9nWCZMmKCoqCi1trZ67W9tbVVSUpLPY5KSkq5r/KWw8umnn+rQoUNX/S4rOjpa0dHR/rQOAAAGMb/OsFgsFs2bN091dXWefS6XS3V1dcrOzvZ5THZ2ttd4STpw4IDX+Eth5eOPP9bBgwc1fvx4f9oCAABDnN+XNdtsNhUVFWn+/PnKzMxURUWFnE6niouLJUmFhYVKTk6W3W6XJK1evVq5ubnasmWLlixZot27d+vYsWPauXOnpC/Dyl/8xV+oqalJ+/btU39/v2d9y7hx42SxWII1VwAAMEj5HVgKCgrU3t6ujRs3yuFwKCMjQ7W1tZ6FtadPn1Zk5FcnbnJyclRdXa3y8nKtX79e06dP1969e5WWliZJamlp0euvvy5JysjI8Ppdb731lhYtWhTg1AAAwFDhd2CRpJKSEpWUlPh8rb6+/rJ9y5Yt07Jly3yOT01NlZ+3ggEAAMOMUVcJAQAA+EJgAQAAxgvoKyEAAPwVqueccWfv4YHAAgAIqbGxFllHRqm0pjkk9Xl22vBAYAEAhFTyGKsOrskN+pPppS/P2pTWNKvD2UtgGeIILACAkEseYyVQ4Iaw6BYAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgvBHhbgAAgBt1qu1i0GuOjbUoeYw16HURGAILAGDQGhtrkXVklEprmoNe2zoySgfX5BJaDEFgAQAMWsljrDq4Jlcdzt6g1j3VdlGlNc3qcPYSWAxBYAEADGrJY6yEimGARbcAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHjc6fY6tJzvDvptn6XQPKwLABA8ofp7mgcr+o/Acg0t57uVt+Wwuvv6Q1LfOjJKY2MtIakNAAhMKB+qKPFgxUAQWK6hw9mr7r5+VRRkaFrC6KDXJ2UDgHlC9VBFiQcrBorAcp2mJYxWWnJ8uNsAAAwQHqpoFhbdAgAA4xFYAACA8QgsAADAeAQWAABgPBbdAgAQBqG4x8tQvvKUwAIAwAAK5T1ehvL9XQgsAAAMoFDd42Wo39+FwAIAwADjHi/+C2jRbWVlpVJTUxUTE6OsrCwdPXr0quP37NmjmTNnKiYmRnPmzNH+/fu9Xne73dq4caMmTpwoq9WqvLw8ffzxx4G0BgAAhiC/A0tNTY1sNps2bdqkpqYmpaenKz8/X21tbT7HHzlyRMuXL9djjz2m48ePa+nSpVq6dKlOnDjhGfPP//zP+uEPf6iqqiq9//77io2NVX5+vj7//PPAZwYAAIYMvwPL1q1b9cQTT6i4uFizZ89WVVWVRo0apV27dvkcv23bNi1evFhr167VrFmz9Nxzz2nu3LnasWOHpC/PrlRUVKi8vFwPPPCAvva1r+nll1/W2bNntXfv3huaHAAAGBr8WsPS29urxsZGlZWVefZFRkYqLy9PDQ0NPo9paGiQzWbz2pefn+8JI5988okcDofy8vI8r8fHxysrK0sNDQ166KGHLqvZ09Ojnp4ez8+dnZ2SpK6uLn+mc10uXuiSq+czXbzQpa6uiKDXBwAgGC59Xv36d3/QxQvB/zy8eXS0bo6LCWrNS5/bbrf7mmP9Ciznzp1Tf3+/EhMTvfYnJibqo48+8nmMw+HwOd7hcHhev7TvSmP+lN1u17PPPnvZ/pSUlOubSACyK0JWGgCAoHmkItwd+O/ChQuKj7/6A4YH5VVCZWVlXmdtXC6X/vjHP2r8+PGKiLjxsyBdXV1KSUnRmTNnFBcXd8P1Bhvmz/yH8/wl3gPmP7znLw3ce+B2u3XhwgVNmjTpmmP9CiwTJkxQVFSUWltbvfa3trYqKSnJ5zFJSUlXHX/pf1tbWzVx4kSvMRkZGT5rRkdHKzo62mvfmDFj/JnKdYmLixu2f1gl5s/8h/f8Jd4D5j+85y8NzHtwrTMrl/i16NZisWjevHmqq6vz7HO5XKqrq1N2drbPY7Kzs73GS9KBAwc846dOnaqkpCSvMV1dXXr//fevWBMAAAwvfn8lZLPZVFRUpPnz5yszM1MVFRVyOp0qLi6WJBUWFio5OVl2u12StHr1auXm5mrLli1asmSJdu/erWPHjmnnzp2SpIiICJWWluof/uEfNH36dE2dOlUbNmzQpEmTtHTp0uDNFAAADFp+B5aCggK1t7dr48aNcjgcysjIUG1trWfR7OnTpxUZ+dWJm5ycHFVXV6u8vFzr16/X9OnTtXfvXqWlpXnGPP3003I6nfre976n8+fPa+HChaqtrVVMTHBXI1+v6Ohobdq06bKvnYYL5s/8h/P8Jd4D5j+85y+Z+R5EuK/nWiIAAIAwCujW/AAAAAOJwAIAAIxHYAEAAMYjsAAAAOMN28BSWVmp1NRUxcTEKCsrS0ePHr3q+IqKCs2YMUNWq1UpKSl66qmnBvXTpP2Zf19fn/7+7/9et912m2JiYpSenq7a2toB7Da43n77bd1///2aNGmSIiIirushm/X19Zo7d66io6M1bdo0/exnPwt5n6Hi7/z/8Ic/6OGHH9btt9+uyMhIlZaWDkifoeLv/F999VXde++9uvnmmxUXF6fs7Gz98pe/HJhmQ8Tf9+Ddd9/VXXfdpfHjx8tqtWrmzJl68cUXB6bZEAjk74BLfvWrX2nEiBFXvLHpYODv/Ovr6xUREXHZdqXH54TKsAwsNTU1stls2rRpk5qampSenq78/Hy1tbX5HF9dXa1169Zp06ZN+vDDD/Uv//Ivqqmp0fr16we48+Dwd/7l5eX6yU9+ou3bt+uDDz7QihUr9OCDD+r48eMD3HlwOJ1Opaenq7Ky8rrGf/LJJ1qyZInuueceNTc3q7S0VI8//vig/dDyd/49PT26+eabVV5ervT09BB3F3r+zv/tt9/Wvffeq/3796uxsVH33HOP7r///kH751/y/z2IjY1VSUmJ3n77bX344YcqLy9XeXm5535ag42/87/k/PnzKiws1J/92Z+FqLOBEej8T548qT/84Q+eLSEhIUQdXoF7GMrMzHSvXLnS83N/f7970qRJbrvd7nP8ypUr3d/4xje89tlsNvddd90V0j5Dxd/5T5w40b1jxw6vfd/5znfcjzzySEj7HAiS3K+99tpVxzz99NPuO+64w2tfQUGBOz8/P4SdDYzrmf//lZub6169enXI+hlo/s7/ktmzZ7ufffbZ4DcUBoG+Bw8++KD7L//yL4Pf0ADzZ/4FBQXu8vJy96ZNm9zp6ekh7WugXM/833rrLbckd0dHx4D0dCXD7gxLb2+vGhsblZeX59kXGRmpvLw8NTQ0+DwmJydHjY2Nnq9Nfve732n//v361re+NSA9B1Mg8+/p6bnsJn5Wq1XvvvtuSHs1RUNDg9f7JUn5+flXfL8wtLlcLl24cEHjxo0Ldythc/z4cR05ckS5ubnhbmXAvPTSS/rd736nTZs2hbuVsMnIyNDEiRN177336le/+tWA//5B+bTmG3Hu3Dn19/d77sx7SWJioj766COfxzz88MM6d+6cFi5cKLfbrS+++EIrVqwYlF8JBTL//Px8bd26VXfffbduu+021dXV6dVXX1V/f/9AtBx2DofD5/vV1dWl7u5uWa3WMHWGcNi8ebMuXryo7373u+FuZcBNnjxZ7e3t+uKLL/TMM8/o8ccfD3dLA+Ljjz/WunXr9M4772jEiGH3samJEyeqqqpK8+fPV09Pj376059q0aJFev/99zV37twB62PYnWEJRH19vf7pn/5JP/rRj9TU1KRXX31Vb7zxhp577rlwtzYgtm3bpunTp2vmzJmyWCwqKSlRcXGx1yMYgOGgurpazz77rH7+858P/Pf3BnjnnXd07NgxVVVVqaKiQq+88kq4Wwq5/v5+Pfzww3r22Wd1++23h7udsJgxY4b+5m/+RvPmzVNOTo527dqlnJycAV94Peyi4oQJExQVFaXW1lav/a2trUpKSvJ5zIYNG/Too496/mtizpw5nmcf/d3f/d2g+uAOZP4333yz9u7dq88//1z/+7//q0mTJmndunW69dZbB6LlsEtKSvL5fsXFxXF2ZRjZvXu3Hn/8ce3Zs+eyrwiHi6lTp0r68u/A1tZWPfPMM1q+fHmYuwqtCxcu6NixYzp+/LhKSkokffm1oNvt1ogRI/Tmm2/qG9/4Rpi7HHiZmZkDvixg8HzSBonFYtG8efNUV1fn2edyuVRXV6fs7Gyfx3z22WeXhZKoqChJknuQPYopkPlfEhMTo+TkZH3xxRf6xS9+oQceeCDU7RohOzvb6/2SpAMHDlzz/cLQ8corr6i4uFivvPKKlixZEu52jOByudTT0xPuNkIuLi5O//3f/63m5mbPtmLFCs2YMUPNzc3KysoKd4th0dzcrIkTJw7o7xx2Z1gkyWazqaioSPPnz1dmZqYqKirkdDpVXFwsSSosLFRycrLsdrsk6f7779fWrVt15513KisrS6dOndKGDRt0//33e4LLYOLv/N9//321tLQoIyNDLS0teuaZZ+RyufT000+HcxoBu3jxok6dOuX5+ZNPPlFzc7PGjRunKVOmqKysTC0tLXr55ZclSStWrNCOHTv09NNP66//+q916NAh/fznP9cbb7wRrincEH/nL335l9OlY9vb29Xc3CyLxaLZs2cPdPs3zN/5V1dXq6ioSNu2bVNWVpbn3hNWq1Xx8fFhmcON8vc9qKys1JQpUzRz5kxJX17qvXnzZj355JNh6f9G+TP/yMhIpaWleR2fkJCgmJiYy/YPFv7+/19RUaGpU6fqjjvu0Oeff66f/vSnOnTokN58882BbTys1yiF0fbt291TpkxxWywWd2Zmpvu9997zvJabm+suKiry/NzX1+d+5pln3Lfddps7JibGnZKS4v7bv/3bsF/idSP8mX99fb171qxZ7ujoaPf48ePdjz76qLulpSUMXQfHpUv0/nS7NOeioiJ3bm7uZcdkZGS4LRaL+9Zbb3W/9NJLA953sAQyf1/jb7nllgHvPRj8nX9ubu5Vxw9G/r4HP/zhD9133HGHe9SoUe64uDj3nXfe6f7Rj37k7u/vD88EblAg/w78X4P9smZ/5//88897Pv/GjRvnXrRokfvQoUMD3neE2z3IvtMAAADDzrBbwwIAAAYfAgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjPf/AC3nsObYSRjsAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"previous avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "print(\"defining and displaying current unit use after above manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "0ce918e1-0d30-4930-9fb8-0769d793683c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quick classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 1110 time is now 2\n",
      "working on HD 2174 time is now 4\n",
      "out of 2388 total HDs, there were 2379.0 contiguous and 2380.0 complement-contiguous HDs\n",
      "5 HDs had both discontiguity problems, while enclave-only = 3 and discontig only= 4\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 9 3\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#THIS is the FINDSTILLBROKEN code\n",
    "print(\"quick classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%1000 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "463db75a-694e-4c7d-9693-e10f3b4d65db",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before addressing enclaves, let's triage the discontinuous HDs\n",
      "Now work on dropping smallish disconnected pieces that would keep us above 708363 district pop vs 745646 target\n",
      "we'll also trim any HD with total islands' pop <= 14912\n",
      "working on HD 172\n",
      "Out of 9 discontig HDs 9 had discontig HDs.\n",
      "Of these, 0 won't be under 708363 after all minor discontigys were shed, while 9 would be too underpopped if we trimmed the discontig pieces\n",
      "here is adjusted pop by original pop for those we trimmed and those we didn't (x)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, reclassify after the trimming\n",
      "There are 9 HDs still with both discontinuity problems\n",
      "Additionally, 0 of the originally discontig HDs are now contig but still have an enclave\n"
     ]
    }
   ],
   "source": [
    "print(\"Before addressing enclaves, let's triage the discontinuous HDs\")\n",
    "#this is the CANTRIM code####\n",
    "\n",
    "#for t in sPgenerator:\n",
    "#    isContig, smallP = isContiguous(filledHDvtdList[t],unitNbrs)\n",
    "#    if isContig:\n",
    "#        print(\"oops!\",t)\n",
    "maxNudgeDownPop = int(0.02 * aDP)\n",
    "minPostFixPop = int(0.95 * aDP)\n",
    "print(\"Now work on dropping smallish disconnected pieces that would keep us above\",minPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "print(\"we'll also trim any HD with total islands' pop <=\",maxNudgeDownPop)\n",
    "nOrigIslands = [0 for t in range(nHDs)]\n",
    "totalIslandPop = [0. for t in range(nHDs)]\n",
    "tryToTrim, canTrim, cantTrim = list(), list(), list()\n",
    "for jj, t in enumerate(sPgenerator):\n",
    "    if jj%100 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    currList, shedList, shedPop = HDunitList[t].copy(), list(),  0.\n",
    "    done,newList = isContiguous(currList,unitNbrs)\n",
    "    if not done:\n",
    "        tryToTrim.append(t)\n",
    "        while not done:\n",
    "            shedList += newList\n",
    "            shedPop += np.sum( [unitPop[u] for u in newList] )\n",
    "            currList = list (  set(currList).difference(set(newList ))  )\n",
    "            done, newList = isContiguous(currList, unitNbrs)\n",
    "            nOrigIslands[t] +=1\n",
    "            \n",
    "        totalIslandPop[t] = shedPop            \n",
    "        if shedPop <= maxNudgeDownPop or HDvPop[t] - shedPop >= minPostFixPop:\n",
    "            canTrim.append(t)\n",
    "            HDvPop[t] -= shedPop\n",
    "            HDunitList[t] = list (set(HDunitList[t]).difference(set(shedList)) )\n",
    "        else:\n",
    "            cantTrim.append(t)\n",
    "print(\"Out of\",len(sPgenerator),\"discontig HDs\",len(tryToTrim),\"had discontig HDs.\")\n",
    "print(\"Of these,\",len(canTrim),\"won't be under\",minPostFixPop,\"after all minor discontigys were shed, while\",\n",
    "      len(cantTrim),\"would be too underpopped if we trimmed the discontig pieces\")\n",
    "plt.scatter([HDvPop[t] + totalIslandPop[t] for t in canTrim],[HDvPop[t] for t in canTrim])\n",
    "plt.scatter([HDvPop[t]                     for t in cantTrim],[HDvPop[t] for t in cantTrim],marker=\"x\")\n",
    "print(\"here is adjusted pop by original pop for those we trimmed and those we didn't (x)\")\n",
    "plt.plot([0.9*aDP, 1.1*aDP],[aDP, aDP], ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, reclassify after the trimming\")\n",
    "badDiscoList, stillHasEnclave = list(), list()\n",
    "for t in sPgenerator:    \n",
    "    unbroken, noEnclave, __, ____ = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if not unbroken:\n",
    "        badDiscoList.append(t)  #will do a major triage on these later\n",
    "    if unbroken and not noEnclave:\n",
    "        stillHasEnclave.append(t)\n",
    "print(\"There are\",len(badDiscoList),\"HDs still with both discontinuity problems\")\n",
    "print(\"Additionally,\",len(stillHasEnclave),\"of the originally discontig HDs are now contig but still have an enclave\")\n",
    "eLgenerator += stillHasEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "39d37c15-759f-462c-b503-047b6b5e1554",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17 13 9\n",
      "{2581, 1431, 2583, 2460, 2211, 680, 2601, 936, 686, 2609, 1082, 199, 2507, 206, 2512, 2521, 2526, 483, 490, 1777, 497}\n"
     ]
    }
   ],
   "source": [
    "print(len(discontigOnly),len(bothProblems), len(badDiscoList))\n",
    "print((set(discontigOnly).union(set(bothProblems)) ) .difference(set(badDiscoList)) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "id": "2e54bac4-c327-473d-bbb4-257486bddd20",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And now, the major disco'd HDs (< 0.75 aDP in HDcP-contig portion and/or enclaves).  Redraw fully using HDswell\n",
      "Assuming we have run the previous canSwell block.  This block repeats the code, but starting from the home unit\n",
      "This takes 1 - 1000 sec per HD :-( The total number of HDs to fix is 9\n",
      "swell-generating HD 172 our 1 th HD we must regrow out of 9 0 sec elapsed\n"
     ]
    }
   ],
   "source": [
    "#THIS IS THE MUSTSPAWN code block\n",
    "print(\"And now, the major disco'd HDs (< 0.75 aDP in HDcP-contig portion and/or enclaves).  Redraw fully using HDswell\")\n",
    "print(\"Assuming we have run the previous canSwell block.  This block repeats the code, but starting from the home unit\")\n",
    "print(\"This takes 1 - 1000 sec per HD :-( The total number of HDs to fix is\",len(badDiscoList))\n",
    "avgDiam = MAP.area**0.5 / float(nDistricts)\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(badDiscoList):\n",
    "    if i%10 == 0:\n",
    "        print(\"swell-generating HD\",t,\"our\",i+1,\"th HD we must regrow out of\",len(badDiscoList),int(time.time()-startTime),\"sec elapsed\" )\n",
    "    notInCluster = True\n",
    "    for jj, geo in enumerate(CCBgeom):  #swell in-corner HDs from the corner cluster\n",
    "        if geo.contains(hdCP[t]):\n",
    "            starterU = allUnits.index(jj+0.25)\n",
    "            notInCluster = False\n",
    "    if notInCluster:\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = [starterU]  #we used getContigFromStarter(starterU, HDvtdList[t], unitNbrs) in above code block\n",
    "    contigPop = np.sum( [ unitPop[u] for u in contigUs ] )\n",
    "    gap = aDP - contigPop\n",
    "    origGap = gap\n",
    "    currList, addedList = contigUs.copy(), list()\n",
    "    adjoiners = getAdjoiners(currList, unitNbrs)\n",
    "    nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "    nearHDscore = [ (0.2*(unitUse[uu] - 1.) ) + 0.5*(unitCP[uu].distance(HDpoly[t]) + \n",
    "        unitCP[uu].distance(hdCP[t])  )  / HDdiam[t] for uu in adjoiners ]\n",
    "    stillGoing = True\n",
    "    \n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd:\n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else: #we selected the best unit to add legally\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((0.1*(unitUse[uu] - 1.) ) + 0.5*(unitCP[uu].distance(HDpoly[t]) + \n",
    "                                                                        unitCP[uu].distance(hdCP[t])  )  / HDdiam[t] )\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    for u in list( set(HDunitList[t]).difference(set(contigUs)) ):\n",
    "        unitUse[u] -= HDweight[t] * nDistricts       \n",
    "    HDunitList[t] = contigUs + addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "id": "b78199da-ac7c-4cfb-ac0b-26363a8a8c56",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prev avg use and its sd are 1.07886 0.12225\n",
      "defining and displaying current unit use after most recent manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.07843 0.12071\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"prev avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "print(\"defining and displaying current unit use after most recent manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "a2242181-3a07-40b7-ae56-bbe47bd2dc79",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(not-so-)final check -- any more disco's ?\n",
      "working on HD 0 time is now 0 sec\n",
      "working on HD 549 time is now 1 sec\n",
      "working on HD 1110 time is now 2 sec\n",
      "working on HD 1650 time is now 3 sec\n",
      "working on HD 2174 time is now 4 sec\n",
      "out of 2388 total HDs, there were 2385 0 3 0 HDs that were clean, discontig only, enclave-only, both problems after triage\n",
      "this took 6 seconds with maxLoop =  5\n"
     ]
    }
   ],
   "source": [
    "print(\"(not-so-)final check -- any more disco's ?\")\n",
    "maxLOOP = 5  #can increase to avoid false enclave detection\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime),\"sec\")\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs, maxLOOP)\n",
    "    if not noEnclave:\n",
    "        noEnclave, enclaveList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n",
    "print(\"this took\",int(time.time() - startTime),\"seconds with maxLoop = \", maxLOOP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "623fb818-67d9-458d-b854-4c70dfa449ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's fill in all enclaves that won't put us over 782928 district pop vs 745646 target\n",
      "working on enclave-y HD 483 . We have evaluated 0 of 1861 enclavy HDs.Time is now 0\n",
      "Out of 1861 HDs with enclaves 3 had enclaves.\n",
      "Of these, 3 wouldn't be over 782928 if all enclaves filled, while 0 were too populous\n",
      "here is enclave pop by final pop for those we filled\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#OPTIONAL if still enclaves -- rerun the CANFILL CODE  #check if sum of enclave pops small enough to add\n",
    "maxNudgeUpPop = int(0.02 * aDP)\n",
    "maxPostFixPop = int(1.05 * aDP)\n",
    "print(\"Now, let's fill in all enclaves that won't put us over\",maxPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "nOrigEnclaves = [0 for t in range(nHDs)]\n",
    "totalEnclavePop = [0. for t in range(nHDs)]\n",
    "tryToFill, canFill, cantFill = list(), list(), list()\n",
    "startTime = time.time()  #takes about xx sec per HD triage\n",
    "        \n",
    "for iii, t in enumerate(enclaveOnly):  #internals + edgers):\n",
    "    if iii%100 == 0:\n",
    "        print(\"working on enclave-y HD\",t,\". We have evaluated\",iii,\"of\",len(internals+edgers),\"enclavy HDs.Time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and not noEnclave:  #\"and unbroken\" new 1/15 - discontig HDs will usually appear to have enclaves.  We'll fix these in later block\n",
    "        tryToFill.append(t)\n",
    "        enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        nOrigEnclaves[t] = len(enclaveLists)\n",
    "        totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "        if HDvPop[t] + totalEnclavePop[t] <= maxPostFixPop or totalEnclavePop[t] < maxNudgeUpPop:\n",
    "            canFill.append(t)\n",
    "            for eL in enclaveLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "        else:\n",
    "            cantFill.append(t)\n",
    "print(\"Out of\",len(internals+edgers),\"HDs with enclaves\",len(tryToFill),\"had enclaves.\")\n",
    "print(\"Of these,\",len(canFill),\"wouldn't be over\",maxPostFixPop,\"if all enclaves filled, while\",len(cantFill),\"were too populous\")\n",
    "plt.scatter([HDvPop[t] for t in canFill],[totalEnclavePop[t] for t in canFill])\n",
    "print(\"here is enclave pop by final pop for those we filled\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "id": "18f46c40-7f28-4714-962f-0b462ff97b8a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final ??? check -- any more disco's ?\n",
      "working on HD 0 time is now 0 sec\n",
      "working on HD 549 time is now 1 sec\n",
      "working on HD 1110 time is now 2 sec\n",
      "working on HD 1650 time is now 3 sec\n",
      "working on HD 2174 time is now 4 sec\n",
      "out of 2388 total HDs, there were 2388 0 0 0 HDs that were clean, discontig only, enclave-only, both problems after triage\n",
      "this took 5 seconds with maxLoop =  5\n"
     ]
    }
   ],
   "source": [
    "print(\"final ??? check -- any more disco's ?\")  #run again if we ran above block to fill minor enclaves\n",
    "maxLOOP = 5  #can increase to avoid false enclave detection\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime),\"sec\")\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs, maxLOOP)\n",
    "    if not noEnclave:\n",
    "        noEnclave, enclaveList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n",
    "print(\"this took\",int(time.time() - startTime),\"seconds with maxLoop = \", maxLOOP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "id": "de4d8af8-cc64-4215-9b95-f4c6a2bd03af",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "savedAgainUnitList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "id": "f4bb76c7-0ae0-40cb-9c6a-ee436dfc30c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "HDunitList = [savedAgainUnitList[t].copy() for t in range(nHDs)]  #restart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "id": "f3bcd6a8-40b6-4764-a0d1-6814e3286cb8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking on our corner clusters and unit county usage\n",
      "usage, unit no, unit pop, type (0.5 = unit county, 0.25 = cluster) ...\n",
      "1.12949     0     10888 0.5\n",
      "0.86709     1     13811 0.5\n",
      "1.06837     2     9172 0.5\n",
      "0.92647     3     12276 0.5\n",
      "0.99078     4     11003 0.5\n",
      "0.99769     2283     160963 0.25\n"
     ]
    }
   ],
   "source": [
    "print(\"checking on our corner clusters and unit county usage\")\n",
    "print(\"usage, unit no, unit pop, type (0.5 = unit county, 0.25 = cluster) ...\")\n",
    "for u in range(nUnits):\n",
    "    if int(allUnits[u]) != allUnits[u] :\n",
    "        print(r5(unitUse[u]),\"   \",u,\"   \",int(unitPop[u]), allUnits[u]%1 )\n",
    "# note for MN, option 3 here led to tight CCB unit usage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "id": "1e983c03-777a-4e81-bed0-34a620175f83",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "let's visualize over-used and underused units, < 0.75 or > 1.25\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and here is the histogram of HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "minUnitUse, maxUnitUse = 0.75, 1.25\n",
    "print(\"let's visualize over-used and underused units, <\",minUnitUse,\"or >\",maxUnitUse)\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < minUnitUse:\n",
    "        plotPoly(unitGeom[u],0.2)\n",
    "        plotCenter(\"u\",unitCP[u])\n",
    "    if unitUse[u] > maxUnitUse:\n",
    "        plotPoly(unitGeom[u], 1.5)\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"and here is the histogram of HD pops\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins = [0, 0.6*aDP, 0.7*aDP, 0.85*aDP, 0.9*aDP, 0.95*aDP,\n",
    "         0.98*aDP, aDP, 1.02*aDP, 1.05*aDP, 1.1*aDP, 1.15*aDP, 1.3*aDP, 1.5*aDP, 2.0*aDP])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "id": "9bc31b5a-992d-4a38-b9fe-3470b55e1e2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "HDvPop = [0. for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"opt3ContigButOffPopUnit.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "7b9b68ef-6ae9-4d80-895d-41a86f48a55f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hi\n"
     ]
    }
   ],
   "source": [
    "print(\"hi\")  #see MN for code to boost any under-used CCBs via border linking strategy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f6150cac-2249-415b-a364-edf55dc441ea",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "114705bb-9640-45f1-9f25-030030efaa63",
   "metadata": {},
   "outputs": [],
   "source": [
    "#below here -- working on tightening use distro while squaring up pop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "id": "5d7d8519-eb3d-4345-9ac6-ab888e61c348",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "before patching, make another copy of the current HD lists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pre-patch avg use and its sd are 1.07844 0.12072\n"
     ]
    }
   ],
   "source": [
    "print(\"before patching, make another copy of the current HD lists\")\n",
    "latestHDlist = [HDunitList[t].copy() for t in range(nHDs)]   #More safekeeping\n",
    "latestHDpop, latestUnitUse = [0. for t in range(nHDs)], [0. for u in range(nUnits)]\n",
    "for t in popHDlist:\n",
    "    for u in latestHDlist[t]:\n",
    "        latestHDpop[t] += unitPop[u]\n",
    "        latestUnitUse[u] += nDistricts * HDweight[t]\n",
    "latestUnitWeights, latestUnitDistro = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if latestUnitUse[u] > 0.1:\n",
    "        latestUnitDistro.append(latestUnitUse[u])\n",
    "        latestUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(latestUnitDistro, weights=latestUnitWeights, bins = 20, histtype = \"step\")\n",
    "plt.show()\n",
    "latestAvg, latestSD = getWeightedAvgAndSD(latestUnitDistro, latestUnitWeights)\n",
    "print(\"pre-patch avg use and its sd are\",r5(latestAvg),r5(latestSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "id": "b1971853-bda7-49a4-9f25-1bdfd5e75aa2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on avg unit-to-HDcp dist for HD 0\n",
      "working on avg unit-to-HDcp dist for HD 910\n",
      "working on avg unit-to-HDcp dist for HD 1759\n"
     ]
    }
   ],
   "source": [
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "id": "f5b99900-614a-47df-b7de-5d59fffd6d3a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "before patching, make another copy of the current HD lists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pre-patch avg use and its sd are 1.07844 0.12072\n"
     ]
    }
   ],
   "source": [
    "#Restart - may want to comment out first line\n",
    "HDunitList = [latestHDlist[t].copy() for t in range(nHDs)]\n",
    "unitUse = [0. for u in range(nUnits) ]\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in range(nHDs) ]\n",
    "\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, weights = unitPop,bins = 50)\n",
    "plt.show()\n",
    "plt.hist([HDvPop[t] for t in popHDlist], bins=50)\n",
    "plt.show()\n",
    "print(\"before patching, make another copy of the current HD lists\")\n",
    "latestHDlist = [HDunitList[t].copy() for t in range(nHDs)]   #More safekeeping\n",
    "latestHDpop, latestUnitUse = [0. for t in range(nHDs)], [0. for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if latestUnitUse[u] > 0.1:\n",
    "        latestUnitDistro.append(latestUnitUse[u])\n",
    "        latestUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(latestUnitDistro, weights=latestUnitWeights, bins = 20, histtype = \"step\")\n",
    "plt.show()\n",
    "latestAvg, latestSD = getWeightedAvgAndSD(latestUnitDistro, latestUnitWeights)\n",
    "print(\"pre-patch avg use and its sd are\",r5(latestAvg),r5(latestSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "fa933848-9596-4201-8e7b-5dfbf4453ea8",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "HDvPop = [0. for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"ContigButOffPopUnit.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "id": "27b51cd0-8bb6-4b16-bb79-37498e59ce5c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now square up the 13 HDs with pop < 738189 to within 3211\n",
      "working on squaring up HD 483 time is now 0\n",
      "We have addressed underpop in a total of 13 HDs\n",
      "Here is a scatterplot of original (x) to final pop (y)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING UP UNDERPOPPED\n",
    "HDnAddedUnits, HDaddedPop = [0]*nHDs, [0.]*nHDs\n",
    "underPoppedList = list()\n",
    "minDistrictPop, maxDistrictPop = 0.99 * aDP, 1.01 * aDP\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop < minDistrictPop and t in popHDlist:\n",
    "        underPoppedList.append(t)\n",
    "print(\"We will now square up the\",len(underPoppedList),\"HDs with pop <\",int(minDistrictPop),\"to within\",int(maxGap) )\n",
    "startTime = time.time()\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "for ii,t in enumerate(underPoppedList):\n",
    "    if ii%100 == 0:\n",
    "        print(\"working on squaring up HD\",t,\"time is now\",int(time.time() - startTime)) \n",
    "    gap = aDP - HDvPop[t]\n",
    "    origGap = gap\n",
    "    nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "    for u in HDunitList[t]:\n",
    "        for uu in unitNbrs[u]:\n",
    "            if uu not in HDunitList[t] and uu not in nearHDlist and unitPop[uu] < gap + maxGap:\n",
    "                nearHDlist.append(uu)   #below line: bias toward close, underused\n",
    "                nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  \n",
    "    currList = HDunitList[t].copy()\n",
    "    addedList = list()\n",
    "    stillGoing = True\n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd: \n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else:\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  #bias toward close, underused\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    HDunitList[t] += addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n",
    "    HDaddedPop[t] = np.sum( [unitPop[u] for u in addedList] )\n",
    "    if HDvPop[t] > maxDistrictPop:\n",
    "        print(\"Oops! HD\",t,\"now has overshot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after adding\",HDaddedPop[t] )\n",
    "print(\"We have addressed underpop in a total of\",len(underPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original (x) to final pop (y)\")\n",
    "plt.scatter([HDvPop[t] - HDaddedPop[t] for t in underPoppedList], [HDvPop[t] for t in underPoppedList])\n",
    "plt.axhline(y=aDP, xmin = 0.9*aDP, xmax = 1.1*aDP, ls=\"--\")\n",
    "plt.axvline(x=aDP, ymin = 0.9*aDP, ymax = 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "id": "bc01409d-d9e4-43a6-9fae-c76aa7bdc855",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previous unit avg and sd usage are 1.07844 0.12072\n",
      "amped unit avg and sd usage are 1.07904 0.1203\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prevUnitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in latestHDlist[t]:\n",
    "        prevUnitUse[u] += HDweight[t] * nDistricts\n",
    "\n",
    "ampedUnitUse = [0. for u in range(nUnits)]\n",
    "ampedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "ampedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in ampedHDlist[t]:\n",
    "        ampedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "plt.hist(prevUnitUse,bins=50,weights=unitPop,label=\"previous\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.legend()\n",
    "ampedUnitUseAvg, ampedUnitUseSD = getWeightedAvgAndSD(ampedUnitUse,unitPop)\n",
    "print(\"previous unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "id": "ee512b2b-4daa-4a6b-9452-e8dfdfdebc88",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the current barredJettisonSet (usually CCB's) is {2283}\n"
     ]
    }
   ],
   "source": [
    "#CHECK ON BARRED JETTISON SET BEFORE RUNNING BELOW\n",
    "print(\"the current barredJettisonSet (usually CCB's) is\",barredJettisonSet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "id": "dd7d9818-344c-4150-917b-57a4ee051c92",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\n",
      "Let's now square down the 2328 overPopped HDs to within 3211\n",
      "working on squaring down HD 0 time is now 0\n",
      "working on squaring down HD 30 time is now 1\n",
      "working on squaring down HD 60 time is now 3\n",
      "working on squaring down HD 90 time is now 4\n",
      "working on squaring down HD 120 time is now 5\n",
      "working on squaring down HD 151 time is now 8\n",
      "working on squaring down HD 183 time is now 9\n",
      "working on squaring down HD 217 time is now 10\n",
      "working on squaring down HD 248 time is now 12\n",
      "working on squaring down HD 280 time is now 13\n",
      "working on squaring down HD 310 time is now 17\n",
      "working on squaring down HD 341 time is now 18\n",
      "working on squaring down HD 379 time is now 20\n",
      "working on squaring down HD 409 time is now 24\n",
      "working on squaring down HD 447 time is now 27\n",
      "working on squaring down HD 493 time is now 28\n",
      "working on squaring down HD 543 time is now 29\n",
      "working on squaring down HD 606 time is now 30\n",
      "working on squaring down HD 660 time is now 31\n",
      "working on squaring down HD 698 time is now 33\n",
      "working on squaring down HD 728 time is now 34\n",
      "working on squaring down HD 758 time is now 36\n",
      "working on squaring down HD 788 time is now 37\n",
      "working on squaring down HD 818 time is now 38\n",
      "working on squaring down HD 849 time is now 41\n",
      "working on squaring down HD 879 time is now 42\n",
      "working on squaring down HD 909 time is now 44\n",
      "working on squaring down HD 940 time is now 45\n",
      "working on squaring down HD 970 time is now 46\n",
      "working on squaring down HD 1000 time is now 47\n",
      "working on squaring down HD 1030 time is now 48\n",
      "working on squaring down HD 1060 time is now 49\n",
      "working on squaring down HD 1091 time is now 50\n",
      "working on squaring down HD 1121 time is now 53\n",
      "working on squaring down HD 1151 time is now 54\n",
      "working on squaring down HD 1181 time is now 55\n",
      "working on squaring down HD 1211 time is now 56\n",
      "working on squaring down HD 1241 time is now 58\n",
      "working on squaring down HD 1271 time is now 59\n",
      "working on squaring down HD 1301 time is now 60\n",
      "working on squaring down HD 1331 time is now 60\n",
      "working on squaring down HD 1363 time is now 61\n",
      "working on squaring down HD 1393 time is now 62\n",
      "working on squaring down HD 1425 time is now 64\n",
      "working on squaring down HD 1460 time is now 66\n",
      "working on squaring down HD 1490 time is now 68\n",
      "working on squaring down HD 1520 time is now 69\n",
      "working on squaring down HD 1550 time is now 72\n",
      "working on squaring down HD 1615 time is now 74\n",
      "working on squaring down HD 1645 time is now 75\n",
      "working on squaring down HD 1676 time is now 76\n",
      "working on squaring down HD 1706 time is now 79\n",
      "working on squaring down HD 1746 time is now 81\n",
      "working on squaring down HD 1781 time is now 82\n",
      "working on squaring down HD 1812 time is now 83\n",
      "working on squaring down HD 1857 time is now 85\n",
      "working on squaring down HD 1887 time is now 86\n",
      "working on squaring down HD 1917 time is now 87\n",
      "working on squaring down HD 1951 time is now 89\n",
      "working on squaring down HD 1982 time is now 91\n",
      "working on squaring down HD 2013 time is now 92\n",
      "working on squaring down HD 2043 time is now 93\n",
      "working on squaring down HD 2073 time is now 95\n",
      "working on squaring down HD 2104 time is now 96\n",
      "working on squaring down HD 2134 time is now 98\n",
      "working on squaring down HD 2166 time is now 100\n",
      "working on squaring down HD 2201 time is now 101\n",
      "working on squaring down HD 2238 time is now 102\n",
      "working on squaring down HD 2271 time is now 104\n",
      "working on squaring down HD 2302 time is now 105\n",
      "working on squaring down HD 2332 time is now 107\n",
      "working on squaring down HD 2369 time is now 109\n",
      "working on squaring down HD 2442 time is now 116\n",
      "working on squaring down HD 2473 time is now 122\n",
      "working on squaring down HD 2532 time is now 123\n",
      "working on squaring down HD 2578 time is now 126\n",
      "working on squaring down HD 2614 time is now 127\n",
      "working on squaring down HD 2647 time is now 129\n",
      "We have addressed overpop in a total of 2328 HDs\n",
      "Here is a scatterplot of original to final pop\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING DOWN\n",
    "print(\"Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\")\n",
    "#HDunitList = [ampedHDlist[t].copy() for t in range(nHDs)]\n",
    "#HDvPop =     [ampedHDpop[t]         for t in range(nHDs)]\n",
    "#unitUse =    [ampedUnitUse[u]       for u in range(nUnits)] #saving in case I need to re-run\n",
    "HDnShedUnits = [0]*nHDs\n",
    "overPoppedList = list()\n",
    "startTime = time.time()\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop > maxDistrictPop and t in popHDlist:\n",
    "        overPoppedList.append(t)\n",
    "\n",
    "maxGap = 0.9 * np.median(unitPop)   \n",
    "print(\"Let's now square down the\",len(overPoppedList),\"overPopped HDs to within\", int(maxGap))   \n",
    "for ii,t in enumerate(overPoppedList):\n",
    "    if ii%60 == 0:\n",
    "        print(\"working on squaring down HD\",t,\"time is now\",int(time.time()-startTime))\n",
    "    unbroken, noEnclave, sPL, ePL = enclaveCheck(HDunitList[t],unitNbrs)\n",
    "    if not (unbroken and noEnclave):\n",
    "        print(\"SKIPPING shedding attempt on overpopped HD\",t,\"with pop\",HDvPop[t],\"because it was not legal to start\")\n",
    "    else:\n",
    "        #avgDist = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        excess = HDvPop[t] - aDP\n",
    "        origExcess = excess\n",
    "        HDboundaryList, HDboundaryScore = list(), list()  #these will be dynamic lists of the overused border units to jettison\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "        barredSet = barredJettisonSet  #new 4/10/24 for MN, ban CCB jettisoning from ALL HD's, not just near ones\n",
    "        #barredSet = set(get2nbrs([starterU],unitNbrs)).union(barredJettisonSet)  #weaker specification - must be close to be barred\n",
    "\n",
    "        for u in set(HDunitList[t]).difference(barredSet):\n",
    "            isBoundary = False\n",
    "            for uu in unitNbrs[u]:\n",
    "                if uu not in HDunitList[t]:\n",
    "                    isBoundary = True\n",
    "                    break\n",
    "            if isBoundary and HDvPop[t] - unitPop[u] > aDP - maxGap:  #shedding this unit won't send us too far under targetpop\n",
    "                HDboundaryList.append(u)\n",
    "                HDboundaryScore.append((1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t])  #low-score = bias toward far, overused\n",
    "        currList = HDunitList[t].copy()\n",
    "        shedList, stillGoing = list(), True\n",
    "        while excess > maxGap and len(HDboundaryList) > 0 and stillGoing:   #shed the highest-scoring neighboring overused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(HDboundaryScore), 0, True\n",
    "            while i < len(HDboundaryScore) and notYetPicked and stillGoing:        \n",
    "                listNo = idx[i]   #low (large negative) score is preferred to shed\n",
    "                unitNoToShed = HDboundaryList[listNo]  # attempt to shed this unit ...\n",
    "                tryList = list(set(currList).difference( {unitNoToShed} ) )\n",
    "                unbroken, noEnclave, sPL, ePL = enclaveCheck(tryList,unitNbrs) \n",
    "                if unbroken and noEnclave:             #... if that won't eff up contiguity\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't drop any more units without creating an enclave\n",
    "                print(\"can't drop any more units to HD\",t,\"without creating an enclave\")\n",
    "            else: #add this eligible unit\n",
    "                shedList.append(unitNoToShed)\n",
    "                excess -= unitPop[unitNoToShed]        \n",
    "                del currList[currList.index(unitNoToShed) ]\n",
    "                del HDboundaryList[listNo]\n",
    "                del HDboundaryScore[listNo]\n",
    "                for u in unitNbrs[unitNoToShed]:      # ... and ID any neighboring units that will now be on boundary after we shed this unit\n",
    "                    if u in currList and u not in HDboundaryList and (unitPop[u] <= excess + maxGap and\n",
    "                                                                      u not in barredSet): \n",
    "                        HDboundaryList.append(u)\n",
    "                        HDboundaryScore.append( (1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t] )  #low-score, bias toward far & overused       \n",
    "                for uu in HDboundaryList.copy():\n",
    "                    if unitPop[uu] > excess + maxGap:  #checking to see if the latest pop change DQ's any large units on current boundary\n",
    "                        del HDboundaryScore[HDboundaryList.index(uu)]\n",
    "                        del HDboundaryList[HDboundaryList.index(uu)]   \n",
    "        for u in shedList:\n",
    "            unitUse[u] -= HDweight[t] * nDistricts\n",
    "        HDunitList[t], HDvPop[t] = currList.copy(), np.sum( [unitPop[u] for u in currList ] )    \n",
    "        if HDvPop[t] < minDistrictPop:\n",
    "            print(\"Oops! HD\",t,\"now has undershot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after shedding\",\n",
    "                 np.sum([unitPop[u] for u in shedList]) )\n",
    "\n",
    "        HDnShedUnits[t] = -1 * len(shedList)\n",
    "\n",
    "print(\"We have addressed overpop in a total of\",len(overPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original to final pop\")\n",
    "plt.scatter([ampedHDpop[t] for t in overPoppedList], [HDvPop[t] for t in overPoppedList])\n",
    "plt.axhline(aDP, 0.9*aDP, 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "id": "9a19b23e-43cc-4609-9ee7-6d1057a7a9e1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here are the stats prior to any equi-pop patching\n",
      "amped unit avg and sd usage are 1.07904 0.1203\n",
      "shed unit avg and sd usage are 1.00131 0.09076\n"
     ]
    },
    {
     "data": {
      "image/png": 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lpaW46667bNYMGjRIClX1vvvuuzbpuz0xCBGR+2luPRelb91idEQycujQIeTk5GDcuHEIDg7GoUOHcOnSJQwaNAg//vhjk6+NjIzE5MmT8cQTT2DFihW44447cOnSJeTk5OD2229HQkIC/vKXv2DUqFF444038Mc//hG7d+/u9PODAAYhInJHza3n0oYr8hI10BFnHVvwHmq1GgcOHMDKlSthMpnQt29frFixAg888AC2bNnS7Os3bNiAl19+GU8//TTOnz+P7t27Y+TIkXjwwQcBACNHjsT69euRnp6OtLQ0xMfHY8mSJXjppZcc7rUj8V5jTeC9xohcVHvcF4z3GqN/a/QeV1xZukPxXmNERESdiSa8Lpi44L3G5IxBiIioLTR3s03+0JIHTTi/zy6GQYiIqLXs+UhE5h9jEHVWDEJERK3V3ORs3iCTqNNiECIiaiv1N9skIpfBW2wQERG1AC+6dq62Ov4MQkRERA6ovxVFZWUHXSZPNpnNZgBocMsPR/GjMSIiIgcoFApoNBrphqS+vr7w8PBwclfyYrFYcOnSJfj6+qJLl9ZFGQYhIiIiB4WGhgKAFIao43l6eqJPnz6tDqEMQkRERA7y8PBAz549ERwcjJqaGme3I0teXl7w9Gz9DB8GISIiohZSKBStnqNCzsXJ0kRERCRbDEJEREQkWwxCREREJFsMQkRERCRbDEJEREQkWwxCREREJFsMQkRERCRbDEJEREQkWwxCREREJFsOBaFbbrkFHh4eDR7JyckAgGvXriE5ORlBQUHw9/fHxIkTUVJSYrWPoqIiJCQkwNfXF8HBwViwYAGuX79uVbNv3z4MHz4cKpUK/fr1Q1ZWVoNeMjMzccstt8Db2xtxcXE4fPiw1bg9vRAREZG8ORSEvv/+e1y8eFF67NmzBwDwyCOPAADmz5+PL774Atu2bcP+/ftx4cIFTJgwQXp9bW0tEhISYDabcfDgQWzcuBFZWVlIS0uTas6ePYuEhASMHTsW+fn5mDdvHmbMmIHdu3dLNVu2bEFqairS09Nx5MgRDBs2DDqdzurmd831QkRERATRCnPnzhW33XabsFgswmAwCKVSKbZt2yaNnzx5UgAQubm5Qgghdu7cKTw9PYVer5dq1qxZI9RqtaiurhZCCLFw4UIxePBgq/dJTEwUOp1Oeh4bGyuSk5Ol57W1tSIsLExkZGQIIYRdvdjDaDQKAMJoNNr9GiLqBM4fFSJdXfdnR+yzufdrj36IqFGO/Pxu8Rwhs9mMjz76CNOmTYOHhwfy8vJQU1OD+Ph4qWbgwIHo06cPcnNzAQC5ubkYOnQoQkJCpBqdTgeTyYTjx49LNTfuo76mfh9msxl5eXlWNZ6enoiPj5dq7OnFlurqaphMJqsHERERua8WB6HPPvsMBoMBTz75JABAr9fDy8sLGo3Gqi4kJAR6vV6quTEE1Y/XjzVVYzKZUFVVhcuXL6O2ttZmzY37aK4XWzIyMhAQECA9wsPDmz8QRERE5LJaHIQ++OADPPDAAwgLC2vLfpxq8eLFMBqN0qO4uNjZLREREVE76tKSF/3rX//C119/je3bt0vbQkNDYTabYTAYrM7ElJSUIDQ0VKq5+equ+iu5bqy5+equkpISqNVq+Pj4QKFQQKFQ2Ky5cR/N9WKLSqWCSqWy8ygQERGRq2vRGaENGzYgODgYCQkJ0raYmBgolUrk5ORI2woLC1FUVAStVgsA0Gq1KCgosLq6a8+ePVCr1YiKipJqbtxHfU39Pry8vBATE2NVY7FYkJOTI9XY0wsRERGRw2eELBYLNmzYgKSkJHTp8p+XBwQEYPr06UhNTUW3bt2gVqvx1FNPQavVYuTIkQCAcePGISoqClOmTMHy5cuh1+uxZMkSJCcnS2diZs+ejXfffRcLFy7EtGnTsHfvXmzduhXZ2dnSe6WmpiIpKQkjRoxAbGwsVq5ciYqKCkydOtXuXoiIiIgcDkJff/01ioqKMG3atAZjb731Fjw9PTFx4kRUV1dDp9Nh9erV0rhCocCOHTswZ84caLVa+Pn5ISkpCS+++KJUExERgezsbMyfPx+rVq1C79698f7770On00k1iYmJuHTpEtLS0qDX6xEdHY1du3ZZTaBurhciIiIiDyGEcHYTnZXJZEJAQACMRiPUarWz2yEie13IB9aNAWbtB8Ki23+fzb1fe/RDRI1y5Oc37zVGREREssUgRERERLLFIERERESyxSBEREREssUgRERERLLFIERERESyxSBEREREssUgRERERLLFIERERESyxSBEREREssUgRERERLLFIERERESyxSBEREREssUgRERERLLFIERERESyxSBEREREssUgRERERLLFIERERESyxSBEREREssUgRERERLLVxdkNEBG5lMun7NtGRC6BQYiIyB6+QYDSF9g+0/a40reuhohcCoMQEZE9NOFA8mGg8ortcd+guhoicikMQkRE9tKEM+wQuRlOliYiIiLZYhAiIiIi2WIQIiIiItliECIiIiLZYhAiIiIi2WIQIiIiItliECIiIiLZYhAiIiIi2XI4CJ0/fx5/+tOfEBQUBB8fHwwdOhQ//PCDNC6EQFpaGnr27AkfHx/Ex8fj9OnTVvv47bffMHnyZKjVamg0GkyfPh3l5eVWNT/++CPuuusueHt7Izw8HMuXL2/Qy7Zt2zBw4EB4e3tj6NCh2Llzp9W4Pb0QERGRfDkUhMrKyjBq1CgolUp8+eWXOHHiBFasWIHAwECpZvny5Xj77bexdu1aHDp0CH5+ftDpdLh27ZpUM3nyZBw/fhx79uzBjh07cODAAcyaNUsaN5lMGDduHPr27Yu8vDy8/vrreOGFF7Bu3Tqp5uDBg5g0aRKmT5+Oo0ePYvz48Rg/fjyOHTvmUC9EREQkY8IBzz77rBg9enSj4xaLRYSGhorXX39d2mYwGIRKpRKffPKJEEKIEydOCADi+++/l2q+/PJL4eHhIc6fPy+EEGL16tUiMDBQVFdXW733gAEDpOePPvqoSEhIsHr/uLg48ec//9nuXppjNBoFAGE0Gu2qJ6JO4vxRIdLVdX92Bp2tHyI358jPb4fOCH3++ecYMWIEHnnkEQQHB+OOO+7A+vXrpfGzZ89Cr9cjPj5e2hYQEIC4uDjk5uYCAHJzc6HRaDBixAipJj4+Hp6enjh06JBUc/fdd8PLy0uq0el0KCwsRFlZmVRz4/vU19S/jz293Ky6uhomk8nqQURERO7LoSD0yy+/YM2aNejfvz92796NOXPm4C9/+Qs2btwIANDr9QCAkJAQq9eFhIRIY3q9HsHBwVbjXbp0Qbdu3axqbO3jxvdorObG8eZ6uVlGRgYCAgKkR3g4b65IRETkzhwKQhaLBcOHD8eyZctwxx13YNasWZg5cybWrl3bXv11qMWLF8NoNEqP4uJiZ7dERERE7cihINSzZ09ERUVZbRs0aBCKiooAAKGhoQCAkpISq5qSkhJpLDQ0FKWlpVbj169fx2+//WZVY2sfN75HYzU3jjfXy81UKhXUarXVg4iIiNyXQ0Fo1KhRKCwstNp26tQp9O3bFwAQERGB0NBQ5OTkSOMmkwmHDh2CVqsFAGi1WhgMBuTl5Uk1e/fuhcViQVxcnFRz4MAB1NTUSDV79uzBgAEDpCvUtFqt1fvU19S/jz29EJF7OG+owrHzRulx5lLdchxnLpXjvKHKyd0RUafmyCzsw4cPiy5duohXXnlFnD59Wnz88cfC19dXfPTRR1LNq6++KjQajfj73/8ufvzxR/HHP/5RREREiKqqKqnm/vvvF3fccYc4dOiQ+Oabb0T//v3FpEmTpHGDwSBCQkLElClTxLFjx8TmzZuFr6+veO+996Sab7/9VnTp0kW88cYb4uTJkyI9PV0olUpRUFDgUC9N4VVjRJ3fubJKMXDJl6Lvszukxx8WvSNEulr8YdE7YuCSL8W5skrnNsmrxog6lCM/vx0KQkII8cUXX4ghQ4YIlUolBg4cKNatW2c1brFYxPPPPy9CQkKESqUS9957rygsLLSquXLlipg0aZLw9/cXarVaTJ06VVy9etWq5p///KcYPXq0UKlUolevXuLVV19t0MvWrVtFZGSk8PLyEoMHDxbZ2dkO99IUBiGizq/gnEH0fXaH+PTIOVFwziAKzhnE6fz/EyJdLfbu/Ur0fXaHKDhncG6TDEJEHcqRn98eQgjh3HNSnZfJZEJAQACMRiPnCxF1UsfOG/HgO99gx1OjMaRXQN3GC/nAujE483A24j8xWo85w7/7waz9QFi08/ogkglHfn7zXmNEREQkWwxCREREJFsMQkRERCRbXZzdABHJnKEYqLxie8w3CNBwhXciaj8MQkTkPIZiIDMWqKm0Pa70BZIPMwwRUbthECIi56m8UheCJqwHukdaj10+BWyfWVfDIERE7YRBiIicr3skLysnIqfgZGkiIiKSLQYhIiIiki0GISIiIpItzhEiItf078vuvS+XY7DHWXhfDgA8/OvGLp9ybm9E5DIYhIjI9dxw2X0/ANkqAJ/eVKP0Ra13NwDGju+PiFwGgxARuZ4bLrs/I8Iwd3M+Vj0WjX49/P9T4xuEmgo1gLNOa5OIOj8GISJyXd0jcU1E4Lgw4lr3oUDYTXeYr+DZICJqGidLExERkWwxCBEREZFsMQgRERGRbDEIERERkWxxsjQRdW621gTiOkFE1EYYhIioc/INApS+dXegt0XpW1dT0fZvfd5QhbIKs82xQD8v9NL4tP2bEpFTMAgRUeekCQeSD9etGWSLb1BdTRtfIn/eUIX4FftRVVNrc9xHqcDaKTEI8vOy2s6AROSaGISIqPPShNc9OlBZhRlVNbVYmRiNfsH+VmNXKsyY/T95SPrwcIPX+SgV+PrpMQxDRC6GQYiIyIZ+wf4Y0iugwfavnx7T4GOzM6XlmLclH2UVZgYhIhfDIERE5IBeGh+GHSI3wiBERNRGzpSW29weXFGN4A7uhYjswyBERNRKgX5e8FEqMG9Lvs3xGOW/8L+Kju2JiOzDIERE1Eq9ND425w4BdWeJ1m89CzAIEXVKDEJERG2Ac4eIXBNvsUFERESyxSBEREREssUgRERERLLFIERERESy5VAQeuGFF+Dh4WH1GDhwoDR+7do1JCcnIygoCP7+/pg4cSJKSkqs9lFUVISEhAT4+voiODgYCxYswPXr161q9u3bh+HDh0OlUqFfv37Iyspq0EtmZiZuueUWeHt7Iy4uDocPWy95b08vREREJG8OnxEaPHgwLl68KD2++eYbaWz+/Pn44osvsG3bNuzfvx8XLlzAhAkTpPHa2lokJCTAbDbj4MGD2LhxI7KyspCWlibVnD17FgkJCRg7dizy8/Mxb948zJgxA7t375ZqtmzZgtTUVKSnp+PIkSMYNmwYdDodSktL7e6FiIiICMIB6enpYtiwYTbHDAaDUCqVYtu2bdK2kydPCgAiNzdXCCHEzp07haenp9Dr9VLNmjVrhFqtFtXV1UIIIRYuXCgGDx5ste/ExESh0+mk57GxsSI5OVl6XltbK8LCwkRGRobdvdjDaDQKAMJoNNr9GiJywPmjQqSr6/5soYJzBtH32R2i4JzBobGW7K+l/f1h0Tut/jqJyH6O/Px2+IzQ6dOnERYWhltvvRWTJ09GUVERACAvLw81NTWIj4+XagcOHIg+ffogNzcXAJCbm4uhQ4ciJCREqtHpdDCZTDh+/LhUc+M+6mvq92E2m5GXl2dV4+npifj4eKnGnl5sqa6uhslksnoQERGR+3JoQcW4uDhkZWVhwIABuHjxIpYuXYq77roLx44dg16vh5eXFzQajdVrQkJCoNfrAQB6vd4qBNWP1481VWMymVBVVYWysjLU1tbarPnpp5+kfTTXiy0ZGRlYunSpfQeDiMhBZy6V45owWm0L9PPiQoxETuRQEHrggQek/7799tsRFxeHvn37YuvWrfDxcf1/yIsXL0Zqaqr03GQyITw83IkdEZGrC/TzgneXupPvczfn4/hNQchHqcDXT49hGCJyklbdYkOj0SAyMhJnzpzBfffdB7PZDIPBYHUmpqSkBKGhoQCA0NDQBld31V/JdWPNzVd3lZSUQK1Ww8fHBwqFAgqFwmbNjftorhdbVCoVVCqVYweBiKgJvTQ+WDMlBtgErHosGte6D5XGzpSWY96WfJRVmBmEiJykVesIlZeX4+eff0bPnj0RExMDpVKJnJwcabywsBBFRUXQarUAAK1Wi4KCAquru/bs2QO1Wo2oqCip5sZ91NfU78PLywsxMTFWNRaLBTk5OVKNPb0QEXWUYP+6X7D6eVzAEI+z/3l4nsVgj7NQlp93codE8uXQGaFnnnkGDz30EPr27YsLFy4gPT0dCoUCkyZNQkBAAKZPn47U1FR069YNarUaTz31FLRaLUaOHAkAGDduHKKiojBlyhQsX74cer0eS5YsQXJysnQmZvbs2Xj33XexcOFCTJs2DXv37sXWrVuRnZ0t9ZGamoqkpCSMGDECsbGxWLlyJSoqKjB16lQAsKsXIqIO4xsEKH2B7TOtNvcDkK0CLNt8gJTvAQ0/iifqaA4FoXPnzmHSpEm4cuUKevTogdGjR+O7775Djx49AABvvfUWPD09MXHiRFRXV0On02H16tXS6xUKBXbs2IE5c+ZAq9XCz88PSUlJePHFF6WaiIgIZGdnY/78+Vi1ahV69+6N999/HzqdTqpJTEzEpUuXkJaWBr1ej+joaOzatctqAnVzvRARdRhNOJB8GKi8YrX5zKVyvLMlG6uwum6MQYiowzkUhDZv3tzkuLe3NzIzM5GZmdloTd++fbFz584m93PPPffg6NGjTdakpKQgJSWlVb0QEXUYTXiDoHNNGHFG5ANoeEUZryYj6hitmixNREQt19QVZbyajKhjMAgRETlJY1eU8Woyoo7DIERE5ETSFWU9/IGwACd3QyQ/DEJERC7mvKEKZRVmm2OcW0TkGAYhIiIXct5QhfgV+1FVU2tznHOLiBzDIERE5ELKKsyoqqnFysRo9Av2txrj3CIixzEIERG5oH7B/hjSi3OKiFqrVbfYICIiInJlPCNERLLU2ITjM6XlTuiGiJyFQYiIZMeeCceBfl4d3BUROQODEBHJTlMTjgFegk4kJwxCRCRbnHBMRAxCRNQ2DMUN7q4u8Q3indWJqFNiECKi1jMUA5mxQE2l7XGlL5B8mGGIiDodBiEiar3KK3UhaMJ6oHuk9djlU8D2mXU1DEJE1MkwCBFR2+keCYRFO7sLIiK7cUFFIiIiki0GISIiIpItfjRGRB3j8in7thERdSAGISJqX75BdVeNbZ9pe1zpW1dDROQEDEJE1L404XWXznONISLqhBiEiKj9acIZdoioU+JkaSIiIpItBiEiIiKSLQYhIiIiki0GISIiIpItBiEiIiKSLQYhIiIiki0GISIiIpItBiEiIiKSLQYhIiIikq1WBaFXX30VHh4emDdvnrTt2rVrSE5ORlBQEPz9/TFx4kSUlJRYva6oqAgJCQnw9fVFcHAwFixYgOvXr1vV7Nu3D8OHD4dKpUK/fv2QlZXV4P0zMzNxyy23wNvbG3FxcTh8+LDVuD29EBERkXy1OAh9//33eO+993D77bdbbZ8/fz6++OILbNu2Dfv378eFCxcwYcIEaby2thYJCQkwm804ePAgNm7ciKysLKSlpUk1Z8+eRUJCAsaOHYv8/HzMmzcPM2bMwO7du6WaLVu2IDU1Fenp6Thy5AiGDRsGnU6H0tJSu3shIiIieWtRECovL8fkyZOxfv16BAYGStuNRiM++OADvPnmm/j973+PmJgYbNiwAQcPHsR3330HAPjqq69w4sQJfPTRR4iOjsYDDzyAl156CZmZmTCbzQCAtWvXIiIiAitWrMCgQYOQkpKC//f//h/eeust6b3efPNNzJw5E1OnTkVUVBTWrl0LX19ffPjhh3b3QkRERPLWoiCUnJyMhIQExMfHW23Py8tDTU2N1faBAweiT58+yM3NBQDk5uZi6NChCAkJkWp0Oh1MJhOOHz8u1dy8b51OJ+3DbDYjLy/PqsbT0xPx8fFSjT29EBERkbw5fPf5zZs348iRI/j+++8bjOn1enh5eUGj0VhtDwkJgV6vl2puDEH14/VjTdWYTCZUVVWhrKwMtbW1Nmt++uknu3u5WXV1Naqrq6XnJpPJZh0RERG5B4fOCBUXF2Pu3Ln4+OOP4e3t3V49OU1GRgYCAgKkR3h4uLNbIiIionbkUBDKy8tDaWkphg8fji5duqBLly7Yv38/3n77bXTp0gUhISEwm80wGAxWryspKUFoaCgAIDQ0tMGVW/XPm6tRq9Xw8fFB9+7doVAobNbcuI/mernZ4sWLYTQapUdxcbH9B4eIiIhcjkNB6N5770VBQQHy8/Olx4gRIzB58mTpv5VKJXJycqTXFBYWoqioCFqtFgCg1WpRUFBgdXXXnj17oFarERUVJdXcuI/6mvp9eHl5ISYmxqrGYrEgJydHqomJiWm2l5upVCqo1WqrBxEREbkvh+YIde3aFUOGDLHa5ufnh6CgIGn79OnTkZqaim7dukGtVuOpp56CVqvFyJEjAQDjxo1DVFQUpkyZguXLl0Ov12PJkiVITk6GSqUCAMyePRvvvvsuFi5ciGnTpmHv3r3YunUrsrOzpfdNTU1FUlISRowYgdjYWKxcuRIVFRWYOnUqACAgIKDZXoio8zlvqEJZhbnB9kA/L/TS+DihIyJyZw5Plm7OW2+9BU9PT0ycOBHV1dXQ6XRYvXq1NK5QKLBjxw7MmTMHWq0Wfn5+SEpKwosvvijVREREIDs7G/Pnz8eqVavQu3dvvP/++9DpdFJNYmIiLl26hLS0NOj1ekRHR2PXrl1WE6ib64WIOpfzhirEr9iPqpraBmM+SgW+fnoMwxARtalWB6F9+/ZZPff29kZmZiYyMzMbfU3fvn2xc+fOJvd7zz334OjRo03WpKSkICUlpdFxe3ohos6jrMKMqpparEyMRr9gf2n7mdJyzNuSj7IKM4MQEbWpNj8jRETUWv2C/TGkV4Cz2yAiGeBNV4mIiEi2eEaIiKgzuHxK+k/vy+UY7HEW3pcDAL++gIZrmhG1FwYhIiJn8g0ClL7A9pnSpn4AslUAPkXdWPJhhiGidsIgRETkTJrwuqBTeUXadOZSOeZuzsfa+/0R/o+5dWMMQkTtgkGIiFzGmdJyu7a5HE24VdC5Jow4Low4Y/FCOOqC0TVhBOAmXy9RJ8IgRESdXqCfF3yUCszbkm9z3EepQKCfV8c21Y7qv943virEWBUwd3M+jv87CAHu9/USORODEBF1er00Pvj66TE2V5wG3G/V6fqvt+pf/sCnwKrHonGt+1Bp3N2+XiJnYhAiIpfQS+Mjqx/+vTQ+QGXdopL9evgDYVxXiag9cB0hIiIiki0GISIiIpItBiEiIiKSLQYhIiIiki0GISIiIpItBiEiIiKSLQYhIiIiki0GISIiIpItLqhIRG7v5vtz8X5dRFSPQYiI/sNQbHUX9AZ8g1zqLuhN3aOM9+siIoBBiIjqGYqBzFigprLxGqUvkHzYZcJQU/co4/26iAhgECKiepVX6kLQhPVA98iG45dPAdtn1tW5SBAC5HePssacN1TJ5qa1RI5gECIia90jgbBoZ3dBN7p8yvZ2Oz+qPG+oQvyK/aiqqbU57qNU4OunxzAMkSwxCBERdVa+QXUfR26faXvczo8qyyrMqKqpxcrEaPQL9rcaO1Najnlb8lFWYWYQIlliECIi6qw04XVBx9YE9hZ8VNkv2B9DegW0cZNEro1BiIioM9OEu9ScLCJXwwUViYiISLYYhIiIiEi2GISIiIhItjhHiIgcY+tS7sYu7yYi6uQYhIjIPvZcyu0b1LE9ERG1EoMQEdmnqUu5AZe7DxkREcAgRESO4KXcLuFMaXmTz4noPxyaLL1mzRrcfvvtUKvVUKvV0Gq1+PLLL6Xxa9euITk5GUFBQfD398fEiRNRUlJitY+ioiIkJCTA19cXwcHBWLBgAa5fv25Vs2/fPgwfPhwqlQr9+vVDVlZWg14yMzNxyy23wNvbG3FxcTh8+LDVuD29EBG5k0A/L/goFZi3JR8PvvON9Ji3JR8+SgUC/byc3SJRp+PQGaHevXvj1VdfRf/+/SGEwMaNG/HHP/4RR48exeDBgzF//nxkZ2dj27ZtCAgIQEpKCiZMmIBvv/0WAFBbW4uEhASEhobi4MGDuHjxIp544gkolUosW7YMAHD27FkkJCRg9uzZ+Pjjj5GTk4MZM2agZ8+e0Ol0AIAtW7YgNTUVa9euRVxcHFauXAmdTofCwkIEBwcDQLO9EBG5m14aH3z99BibN1fljVWJGiFaKTAwULz//vvCYDAIpVIptm3bJo2dPHlSABC5ublCCCF27twpPD09hV6vl2rWrFkj1Gq1qK6uFkIIsXDhQjF48GCr90hMTBQ6nU56HhsbK5KTk6XntbW1IiwsTGRkZAghhF292MNoNAoAwmg02v0aIpd1/qgQ6eq6P52k4JxB9H12hyg4Z3BaDy6jjb5fPObkjhz5+d3idYRqa2uxefNmVFRUQKvVIi8vDzU1NYiPj5dqBg4ciD59+iA3NxcAkJubi6FDhyIkJESq0el0MJlMOH78uFRz4z7qa+r3YTabkZeXZ1Xj6emJ+Ph4qcaeXoiIiIgcnixdUFAArVaLa9euwd/fH59++imioqKQn58PLy8vaDQaq/qQkBDo9XoAgF6vtwpB9eP1Y03VmEwmVFVVoaysDLW1tTZrfvrpJ2kfzfViS3V1Naqrq6XnJpOpmaNBRERErszhM0IDBgxAfn4+Dh06hDlz5iApKQknTpxoj946XEZGBgICAqRHeDivjiEiInJnDgchLy8v9OvXDzExMcjIyMCwYcOwatUqhIaGwmw2w2AwWNWXlJQgNDQUABAaGtrgyq36583VqNVq+Pj4oHv37lAoFDZrbtxHc73YsnjxYhiNRulRXFxs30EhIiIil9Tqe41ZLBZUV1cjJiYGSqUSOTk50lhhYSGKioqg1WoBAFqtFgUFBSgtLZVq9uzZA7VajaioKKnmxn3U19Tvw8vLCzExMVY1FosFOTk5Uo09vdiiUqmkpQHqH0REROS+HJojtHjxYjzwwAPo06cPrl69ik2bNmHfvn3YvXs3AgICMH36dKSmpqJbt25Qq9V46qmnoNVqMXLkSADAuHHjEBUVhSlTpmD58uXQ6/VYsmQJkpOToVKpAACzZ8/Gu+++i4ULF2LatGnYu3cvtm7diuzsbKmP1NRUJCUlYcSIEYiNjcXKlStRUVGBqVOnAoBdvRARERE5FIRKS0vxxBNP4OLFiwgICMDtt9+O3bt347777gMAvPXWW/D09MTEiRNRXV0NnU6H1atXS69XKBTYsWMH5syZA61WCz8/PyQlJeHFF1+UaiIiIpCdnY358+dj1apV6N27N95//31pDSEASExMxKVLl5CWlga9Xo/o6Gjs2rXLagJ1c70QEREReQghhLOb6KxMJhMCAgJgNBr5MRm5vwv5wLoxwKz9QFi0U1o4dt6IB9/5BjueGo0hvQKc0oPLaKPvF485uSNHfn63eo4QERERkatiECIiIiLZYhAiIiIi2WIQIiIiItliECIiIiLZYhAiIiIi2WIQIiIiItliECIiIiLZYhAiIiIi2WIQIiIiItliECIiIiLZcuimq0REbeG8oQplFeYG28+UljuhGyKSMwYhIupQ5w1ViF+xH1U1tTbHfZQKBPp5dXBXRCRXDEJE1KHKKsyoqqnFysRo9Av2bzAe6OeFXhofJ3RGRHLEIERETtEv2B9DegU4uw0ikjlOliYiIiLZYhAiIiIi2WIQIiIiItliECIiIiLZ4mRpImqVxtYE4tVfROQKGISIqMWaWhPIR6nA10+PYRgiok6NQYiIWqyxNYHOlJZj3pZ8lFWYGYSIqFNjECKiVuOaQETkqjhZmoiIiGSLQYiIiIhki0GIiIiIZItBiIiIiGSLk6WJqFmNrRV0prTcCd0QEbUdBiEialJTawUBdesFBfp5dXBXRERtg0GIiJrU2FpB9biCNBG5MgYhIrIL1woiInfEydJEREQkWw4FoYyMDNx5553o2rUrgoODMX78eBQWFlrVXLt2DcnJyQgKCoK/vz8mTpyIkpISq5qioiIkJCTA19cXwcHBWLBgAa5fv25Vs2/fPgwfPhwqlQr9+vVDVlZWg34yMzNxyy23wNvbG3FxcTh8+LDDvRBR+zlTWo5j541WD06wJqLOxKGPxvbv34/k5GTceeeduH79Ov76179i3LhxOHHiBPz8/AAA8+fPR3Z2NrZt24aAgACkpKRgwoQJ+PbbbwEAtbW1SEhIQGhoKA4ePIiLFy/iiSeegFKpxLJlywAAZ8+eRUJCAmbPno2PP/4YOTk5mDFjBnr27AmdTgcA2LJlC1JTU7F27VrExcVh5cqV0Ol0KCwsRHBwsF29EFH7CPTzgo9SgXlb8m2Oc4I1EXUaohVKS0sFALF//34hhBAGg0EolUqxbds2qebkyZMCgMjNzRVCCLFz507h6ekp9Hq9VLNmzRqhVqtFdXW1EEKIhQsXisGDB1u9V2JiotDpdNLz2NhYkZycLD2vra0VYWFhIiMjw+5emmM0GgUAYTQa7aoncmnnjwqRrq778wYF5wyi77M7RME5g0O7O1dWKQrOGWw+zpVVtl3fctXI98tR/P6SO3Lk53erJksbjUYAQLdu3QAAeXl5qKmpQXx8vFQzcOBA9OnTB7m5uRg5ciRyc3MxdOhQhISESDU6nQ5z5szB8ePHcccddyA3N9dqH/U18+bNAwCYzWbk5eVh8eLF0rinpyfi4+ORm5trdy83q66uRnV1tfTcZDK19NAQyV4vjQ+vJusIl0/Z3u4bBGjC2+Ut7VlS4eunx/D7Ty6hxUHIYrFg3rx5GDVqFIYMGQIA0Ov18PLygkajsaoNCQmBXq+Xam4MQfXj9WNN1ZhMJlRVVaGsrAy1tbU2a3766Se7e7lZRkYGli5daucRICJyIt8gQOkLbJ9pe1zpCyQfbpcw1NSSCmdKyzFvSz7KKswMQuQSWhyEkpOTcezYMXzzzTdt2Y9TLV68GKmpqdJzk8mE8PD2+Y2KiKhVNOF1QafySsOxy6fqAlLllXY7KwRwSQVyDy0KQikpKdixYwcOHDiA3r17S9tDQ0NhNpthMBiszsSUlJQgNDRUqrn56q76K7lurLn56q6SkhKo1Wr4+PhAoVBAoVDYrLlxH831cjOVSgWVSuXAkSAiciJNeLsGHSI5cOjyeSEEUlJS8Omnn2Lv3r2IiIiwGo+JiYFSqUROTo60rbCwEEVFRdBqtQAArVaLgoIClJaWSjV79uyBWq1GVFSUVHPjPupr6vfh5eWFmJgYqxqLxYKcnBypxp5eiIiISN4cOiOUnJyMTZs24e9//zu6du0qzbUJCAiAj48PAgICMH36dKSmpqJbt25Qq9V46qmnoNVqpcnJ48aNQ1RUFKZMmYLly5dDr9djyZIlSE5Ols7GzJ49G++++y4WLlyIadOmYe/evdi6dSuys7OlXlJTU5GUlIQRI0YgNjYWK1euREVFBaZOnSr11FwvREREJG8OBaE1a9YAAO655x6r7Rs2bMCTTz4JAHjrrbfg6emJiRMnorq6GjqdDqtXr5ZqFQoFduzYgTlz5kCr1cLPzw9JSUl48cUXpZqIiAhkZ2dj/vz5WLVqFXr37o33339fWkMIABITE3Hp0iWkpaVBr9cjOjoau3btsppA3VwvREREJG8OBSEhRLM13t7eyMzMRGZmZqM1ffv2xc6dO5vczz333IOjR482WZOSkoKUlJRW9UJERG2vsRXEeZNe6mx401UiuTEUN36lEVEr2bOqONcYos6EQYhITgzFQGYsUFNpe1zpW7c+DbmHpsJtOy242Evjg6+fHoOyCnODMa4xRJ0RgxCRnFReqQtBE9YD3SMbjrfjasTUgZpbbBH4z4KLULf527f1quLnDVU2gxXAj9qo9RiEiOSoeyQQFu3sLqi9NLXYImC94OK/g1BnndPD23lQe2MQIiJyR3YutthZ5vQ0dtbnTGk5b+dB7YpBiIhIxjrDnB57zvrcGdGNYYfaBYMQEZHMtfWcnubc/DFcU2d9AOd/PEfujUGIiIg6RFMfw/GsDzkLgxARETXJ1hmclmjqYzie9SFnYRAiIiKbmjuDE+jn5fA+O/pjOKLmMAgREZFNPINDcsAgREREjeIZHHJ3ns5ugIiIiMhZGISIiIhIthiEiIiISLYYhIiIiEi2GISIiIhItnjVGBER0b81dvNXLhfgvhiEiIiI0PTNX32UCnz99BiGITfEIETkjgzFQOWVhtsvn+r4XohcRFmF2ebNX8+UlmPelnyUVZgZhNwQgxCRuzEUA5mxQE2l7XGlL+Ab1LE9EbmQfsH+GNIrwNltUAdhECJyN5VX6kLQhPVA98iG475BgCa84/siIuqEGISI3FX3SCAs2tldEBF1arx8noiIiGSLQYiIiIhkix+NERGRSztTWt5gG9f9IXsxCBERkUsK9POCj1KBeVvyG4xx3R+yF4MQERG5pF4aH3z99JgGK0E3t+5PY6tH2zqzRO6PQYiIAPCHA7mmXhofh876NLV6NFB3JinQz6ut2iMXwCBERPzhQLLR2OrR9Ti3SH4YhIiIPxxIdrh6NNVjECIiCX84yExj957j6uMkIw6vI3TgwAE89NBDCAsLg4eHBz777DOrcSEE0tLS0LNnT/j4+CA+Ph6nT5+2qvntt98wefJkqNVqaDQaTJ8+HeXl1vMQfvzxR9x1113w9vZGeHg4li9f3qCXbdu2YeDAgfD29sbQoUOxc+dOh3shIpId36C6e85tnwmsG9PwkRlbd886IhlwOAhVVFRg2LBhyMzMtDm+fPlyvP3221i7di0OHToEPz8/6HQ6XLt2TaqZPHkyjh8/jj179mDHjh04cOAAZs2aJY2bTCaMGzcOffv2RV5eHl5//XW88MILWLdunVRz8OBBTJo0CdOnT8fRo0cxfvx4jB8/HseOHXOoFyIi2dGEA8mHgVn7Gz4mrK+7V13lFWd3SdQxRCsAEJ9++qn03GKxiNDQUPH6669L2wwGg1CpVOKTTz4RQghx4sQJAUB8//33Us2XX34pPDw8xPnz54UQQqxevVoEBgaK6upqqebZZ58VAwYMkJ4/+uijIiEhwaqfuLg48ec//9nuXppjNBoFAGE0Gu2qJ+oUzh8VIl1d96edCs4ZRN9nd4iCc4Z2a4tcRAv+/nQ2Tf19bsnfdf77cD2O/Pxu01tsnD17Fnq9HvHx8dK2gIAAxMXFITc3FwCQm5sLjUaDESNGSDXx8fHw9PTEoUOHpJq7774bXl7/uUpFp9OhsLAQZWVlUs2N71NfU/8+9vRys+rqaphMJqsHERG5pjOl5Th23mj14HIQdLM2nSyt1+sBACEhIVbbQ0JCpDG9Xo/g4GDrJrp0Qbdu3axqIiIiGuyjfiwwMBB6vb7Z92mul5tlZGRg6dKl9n2xRB3BUNz4RxTNTGg9c6kc14SxwXZeAUburqkVpwEuB0HWeNXYDRYvXozU1FTpuclkQng4r5wgJzEU101aram0Pa70BRL/B/DtbrX5t6Jj6AZg7uZ8HLcRhHjrAXJ3ja04XY+/DNCN2jQIhYaGAgBKSkrQs2dPaXtJSQmio6OlmtLSUqvXXb9+Hb/99pv0+tDQUJSUlFjV1D9vrubG8eZ6uZlKpYJKpbL76yVqV5VX6kLQhPVA98ibxi4DW6YAH01s8LJuACqFCn95MA69brF+XXO3HiByF46uOE3y1aZBKCIiAqGhocjJyZHChslkwqFDhzBnzhwAgFarhcFgQF5eHmJiYgAAe/fuhcViQVxcnFTz3HPPoaamBkqlEgCwZ88eDBgwAIGBgVJNTk4O5s2bJ73/nj17oNVq7e6FyCV0jwTCohtuTz5s82OzM5fK8cQnP2PdLZGNrgl08zwJzpsgIrlyOAiVl5fjzJkz0vOzZ88iPz8f3bp1Q58+fTBv3jy8/PLL6N+/PyIiIvD8888jLCwM48ePBwAMGjQI999/P2bOnIm1a9eipqYGKSkpeOyxxxAWFgYAePzxx7F06VJMnz4dzz77LI4dO4ZVq1bhrbfekt537ty5GDNmDFasWIGEhARs3rwZP/zwg3SJvYeHR7O9ELk0TbjNOULXhBEX0PAjMaD5u3Vz3gQRyY3DQeiHH37A2LFjpef1c2qSkpKQlZWFhQsXoqKiArNmzYLBYMDo0aOxa9cueHt7S6/5+OOPkZKSgnvvvReenp6YOHEi3n77bWk8ICAAX331FZKTkxETE4Pu3bsjLS3Naq2h3/3ud9i0aROWLFmCv/71r+jfvz8+++wzDBkyRKqxpxciOWlq7gTnTRCRHHkIIYSzm+isTCYTAgICYDQaoVarnd0Oyc2F/LpVfmftt/3RWCOOnTfiwXe+wY6nRvN2GeS4Fv69c2f8N+V6HPn53abrCBERERG5EgYhIiIiki2uI0RERNQK5w1VnHfnwhiEiIiIWui8oQrxK/ajqqa2wRgXL3UNDEJERER2sLXe1pnSclTV1GJlYjT6Bftbbefipa6BQYiIiKgJ9ty77M6Ibgw8LopBiMhFNTYvgatEE7Ut3rvMvTEIEbmgpuYlAFwlmqit8d5l7otBiMgFlVWYbc5LqMffUImI7MMgROTC+gX7c6VbIqJW4IKKREREJFs8I0TU3gzFQOUV22O+QTbvIE9E8sUFGjsWgxBRezIUA5mxQE2l7XGlL5B8mGGIiABwgUZnYBAiak+VV+pC0IT1QPdI67HLp4DtM4GiXNtnjC6f6pgeiWxp7O8fz2K2q8YuhOACje2HQYioI3SPBMKirbf5BtWdEdo+s/HXKX3r6og6SnN/L3kWs0PwQoiOwyBE5Cya8LofKI3NHwL42zd1vKb+Xtafxay8wr+XdmpsgVPO9+k8GISInEkTzh8o1Pnw72Wr2XNbDs736RwYhMg18UosIurEmrotB+f7dC4MQuR6eCUWEbkA3pbDNTAIkeux50qsxuYwNHUmCeDZJCIimWEQItdl60qspjR3Jgng2SQiIplhECL5aOpMEsArYoiIZIhBiOTH0TNJRETkthiEiNpCY3OP2mB1aFv3HWpsbRIip+LVnO2O6xK1PQYhotay5yq2Fq4O3dx9hwL9vFq0X6I2x6s5HWYr1DQVdJpbl2jtlBgE2fh/AkNS0xiEiFqrublHrfhNuLH7DgH8nxt1Mq25mlNm7Ak1N/+S09S6RFcqzJj9P3lI+vBwo/vj4o2NYxAisldzH3+149wj3neIOhVbH/na8++gqY+KZfTRWVOhBmj8l5ym1iXi4o0txyBE7ctd1u1x4OMvW3N6AJ7BITdgzw1ZbX0MbO8NhmX00VlbL7bIxRtbjkGI2o87rdtj58dfzc3p4elpcmnN3Si4sV9smnsdPzojJ2IQovZj77o9Rbm2/wfprLNFLT3tj8bn9PD0NLmNlt6QlTdydSpHrzSV0xlsBiGyT2sui20sPNhzmr0jzxa19LS/DY7O6Wns4zReJk9ErdHcxOzGyOkMNoMQNc+e+TGJ/wP4drfe3twaOk2dLm/qbFEbrM3jcD9Am5yhshVs6q/4sPVxGsDL5Imo5ZqbmG2L3M5gyyIIZWZm4vXXX4der8ewYcPwzjvvIDY21tltOUdzk5dtuXyq8Y+4Ki8DW6YAH020/drmzqI0drq8Dc/OOKSdTt/bc7nsxmmxXAOEiNocJ1I3ze2D0JYtW5Camoq1a9ciLi4OK1euhE6nQ2FhIYKDg53dXsu09GMqeyYvN0bpC/TR2t53e5xFae3Zmabm+ThBSy+XJZKVxv6NusrVpW5GLqtYu30QevPNNzFz5kxMnToVALB27VpkZ2fjww8/xKJFi5zcXQu0ZvXW5iYvN6Wp/xG11yTIluzXWWeS7MDfyoga0Zr5gq35xdAdlvZoBy1dxbqpgNTYPMjmXtcR3DoImc1m5OXlYfHixdI2T09PxMfHIzc3t0F9dXU1qqurpedGoxEAYDKZ2qfBqyVAeYljr7lyBiivAB56Gwjq13Dsi78AJ3IajtWPVwtAFQb43+p4v+11HNqSZwAwJQeo+s32uE+3upp2+lrKr5pgqa5E+VUTTCaPdnkPIrfT1L/bpv6/VnkF2D4LuF5le79dfIAJ6xr+8tPc6+pfO/MfgKa3Y1+LG+jqCXw68w4YKhsGl98qazBv81FMWbOvwZi30hMrH7sD3XyVNl9zrcZi8/28lZ74PGU0wtowDNX/3BZCNF8s3Nj58+cFAHHw4EGr7QsWLBCxsbEN6tPT0wUAPvjggw8++ODDDR7FxcXNZgW3PiPkqMWLFyM1NVV6brFY8NtvvyEoKAgeHu73273JZEJ4eDiKi4uhVqud3Y7b4/HuWDzeHYvHu+PxmDdOCIGrV68iLCys2Vq3DkLdu3eHQqFASYn1x08lJSUIDQ1tUK9SqaBSqay2aTSa9myxU1Cr1fxH1IF4vDsWj3fH4vHueDzmtgUEBNhV59nOfTiVl5cXYmJikJOTI22zWCzIycmBVqt1YmdERETUGbj1GSEASE1NRVJSEkaMGIHY2FisXLkSFRUV0lVkREREJF9uH4QSExNx6dIlpKWlQa/XIzo6Grt27UJISIizW3M6lUqF9PT0Bh8HUvvg8e5YPN4di8e74/GYtw0PIey5toyIiIjI/bj1HCEiIiKipjAIERERkWwxCBEREZFsMQgRERGRbDEIubnMzEzccsst8Pb2RlxcHA4fPtxkvcFgQHJyMnr27AmVSoXIyEjs3Lmzg7p1fY4e75UrV2LAgAHw8fFBeHg45s+fj2vXrnVQt67twIEDeOihhxAWFgYPDw989tlnzb5m3759GD58OFQqFfr164esrKx279NdOHq8t2/fjvvuuw89evSAWq2GVqvF7t27O6ZZN9CSv9/1vv32W3Tp0gXR0dHt1p87YRByY1u2bEFqairS09Nx5MgRDBs2DDqdDqWlpTbrzWYz7rvvPvz666/429/+hsLCQqxfvx69evXq4M5dk6PHe9OmTVi0aBHS09Nx8uRJfPDBB9iyZQv++te/dnDnrqmiogLDhg1DZmamXfVnz55FQkICxo4di/z8fMybNw8zZszgD2c7OXq8Dxw4gPvuuw87d+5EXl4exo4di4ceeghHjx5t507dg6PHu57BYMATTzyBe++9t506c0Ntc3tT6oxiY2NFcnKy9Ly2tlaEhYWJjIwMm/Vr1qwRt956qzCbzR3Voltx9HgnJyeL3//+91bbUlNTxahRo9q1T3cEQHz66adN1ixcuFAMHjzYaltiYqLQ6XTt2Jl7sud42xIVFSWWLl3a9g25OUeOd2JioliyZIlIT08Xw4YNa9e+3AXPCLkps9mMvLw8xMfHS9s8PT0RHx+P3Nxcm6/5/PPPodVqkZycjJCQEAwZMgTLli1DbW1tR7XtslpyvH/3u98hLy9P+vjsl19+wc6dO/GHP/yhQ3qWm9zcXKvvDwDodLpGvz/UtiwWC65evYpu3bo5uxW3tWHDBvzyyy9IT093disuxe1Xlpary5cvo7a2tsEK2iEhIfjpp59svuaXX37B3r17MXnyZOzcuRNnzpzBf//3f6Ompob/sJrRkuP9+OOP4/Llyxg9ejSEELh+/Tpmz57Nj8baiV6vt/n9MZlMqKqqgo+Pj5M6k4c33ngD5eXlePTRR53dils6ffo0Fi1ahP/7v/9Dly780e4InhEiicViQXBwMNatW4eYmBgkJibiueeew9q1a53dmlvat28fli1bhtWrV+PIkSPYvn07srOz8dJLLzm7NaI2tWnTJixduhRbt25FcHCws9txO7W1tXj88cexdOlSREZGOrsdl8PY6Ka6d+8OhUKBkpISq+0lJSUIDQ21+ZqePXtCqVRCoVBI2wYNGgS9Xg+z2QwvL6927dmVteR4P//885gyZQpmzJgBABg6dCgqKiowa9YsPPfcc/D05O8pbSk0NNTm90etVvNsUDvavHkzZsyYgW3btjX4aJLaxtWrV/HDDz/g6NGjSElJAVD3i60QAl26dMFXX32F3//+907usvPi/2ndlJeXF2JiYpCTkyNts1gsyMnJgVartfmaUaNG4cyZM7BYLNK2U6dOoWfPngxBzWjJ8a6srGwQdupDqOAtANucVqu1+v4AwJ49exr9/lDrffLJJ5g6dSo++eQTJCQkOLsdt6VWq1FQUID8/HzpMXv2bAwYMAD5+fmIi4tzdoudm5Mna1M72rx5s1CpVCIrK0ucOHFCzJo1S2g0GqHX64UQQkyZMkUsWrRIqi8qKhJdu3YVKSkporCwUOzYsUMEBweLl19+2Vlfgktx9Hinp6eLrl27ik8++UT88ssv4quvvhK33XabePTRR531JbiUq1eviqNHj4qjR48KAOLNN98UR48eFf/617+EEEIsWrRITJkyRar/5ZdfhK+vr1iwYIE4efKkyMzMFAqFQuzatctZX4JLcfR4f/zxx6JLly4iMzNTXLx4UXoYDAZnfQkuxdHjfTNeNWY/BiE3984774g+ffoILy8vERsbK7777jtpbMyYMSIpKcmq/uDBgyIuLk6oVCpx6623ildeeUVcv369g7t2XY4c75qaGvHCCy+I2267TXh7e4vw8HDx3//936KsrKzjG3dB//jHPwSABo/6Y5yUlCTGjBnT4DXR0dHCy8tL3HrrrWLDhg0d3rercvR4jxkzpsl6alpL/n7fiEHIfh5C8Bw8ERERyRPnCBEREZFsMQgRERGRbDEIERERkWwxCBEREZFsMQgRERGRbDEIERERkWwxCBEREZFsMQgRERGRbDEIERERkWwxCBEREZFsMQgRERGRbDEIERERkWz9fylIMVAm1x29AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and here are the final populations\n"
     ]
    },
    {
     "data": {
      "image/png": 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woAoKCvT11187YyUlJRo0aJC8Xq+zLisrS6FQSHv37m3weaqrqxUKhcIWAADQfkV0BuXb6urq9MQTT+imm27SwIEDnfUPPfSQevfurZSUFO3atUvTpk1TWVmZ3nrrLUlSIBAICyeSnMeBQKDB5yosLNSsWbMaO1UAANDGNDqg5OXlac+ePfrzn/8ctn7ChAnOz4MGDVLPnj01YsQIHTx4UJdffnmjnqugoED5+fnO41AopNTU1MZNHAAAWK9Rb/E89thjWrVqlT788EP16tXre2szMjIkSQcOHJAk+Xw+VVRUhNXUPz7XdSsul0tutztsAQAA7VdEZ1CMMZo8ebLefvttbdiwQX379j3vNjt27JAk9ezZU5Lk9/v17LPPqrKyUsnJyZKk4uJiud1upaenRzh9AK2pz1PvtvYUALRTEQWUvLw8FRUVaeXKlerSpYtzzYjH41F8fLwOHjyooqIi3XnnnerWrZt27dqlKVOmaNiwYRo8eLAkaeTIkUpPT9eYMWM0d+5cBQIBTZ8+XXl5eXK5XM1/hAAAoM2J6C2eBQsWKBgMavjw4erZs6ezvPnmm5KkuLg4rV27ViNHjlT//v31q1/9Srm5uXrnnXecfcTExGjVqlWKiYmR3+/Xww8/rEceeSTsc1MAAMClLeK3eL5PamqqNm7ceN799O7dW++9914kTw0AAC4hfBcPAACwDgEFAABYh4ACAACsQ0ABAADWIaAAAADrEFAAAIB1CCgAAMA6BBQAAGAdAgoAALAOAQUAAFiHgAIAAKxDQAEAANYhoAAAAOsQUAAAgHUIKAAAwDoEFAAAYB0CCgAAsA4BBQAAWIeAAgAArENAAQAA1iGgAAAA6xBQAACAdQgoAADAOgQUAABgHQIKAACwDgEFAABYh4ACAACsQ0ABAADWiW3tCQBoWX2eere1pwAAEeMMCgAAsA4BBQAAWCeigFJYWKgbbrhBXbp0UXJysu655x6VlZWF1Zw6dUp5eXnq1q2bOnfurNzcXFVUVITVlJeXKycnRwkJCUpOTtbUqVN15syZph8NAABoFyIKKBs3blReXp62bNmi4uJinT59WiNHjtTJkyedmilTpuidd97R8uXLtXHjRh05ckT33nuvM15bW6ucnBzV1NRo8+bNev3117VkyRLNmDGj+Y4KAAC0aVHGGNPYjb/44gslJydr48aNGjZsmILBoHr06KGioiLdd999kqRPPvlEAwYMUElJiYYOHar3339fd911l44cOSKv1ytJWrhwoaZNm6YvvvhCcXFx533eUCgkj8ejYDAot9vd2OkDlwQuksW5fD4np7WngEtMJH+/m3QNSjAYlCQlJSVJkkpLS3X69GllZmY6Nf3791daWppKSkokSSUlJRo0aJATTiQpKytLoVBIe/fubfB5qqurFQqFwhYAANB+NTqg1NXV6YknntBNN92kgQMHSpICgYDi4uKUmJgYVuv1ehUIBJyab4eT+vH6sYYUFhbK4/E4S2pqamOnDQAA2oBGB5S8vDzt2bNHy5Yta875NKigoEDBYNBZDh8+3OLPCQAAWk+jPqjtscce06pVq7Rp0yb16tXLWe/z+VRTU6OqqqqwsygVFRXy+XxOzUcffRS2v/q7fOprvsvlcsnlcjVmqgAAoA2KKKAYYzR58mS9/fbb2rBhg/r27Rs2PmTIEHXo0EHr1q1Tbm6uJKmsrEzl5eXy+/2SJL/fr2effVaVlZVKTk6WJBUXF8vtdis9Pb05jgloc7iQFQDCRRRQ8vLyVFRUpJUrV6pLly7ONSMej0fx8fHyeDwaN26c8vPzlZSUJLfbrcmTJ8vv92vo0KGSpJEjRyo9PV1jxozR3LlzFQgENH36dOXl5XGWBAAASIowoCxYsECSNHz48LD1ixcv1qOPPipJeumllxQdHa3c3FxVV1crKytL8+fPd2pjYmK0atUqTZo0SX6/X506ddLYsWM1e/bsph0JAABoN5r0OSithc9BQXvDWzxoDXwOCi62i/Y5KAAAAC2BgAIAAKxDQAEAANYhoAAAAOsQUAAAgHUIKAAAwDoEFAAAYB0CCgAAsA4BBQAAWIeAAgAArENAAQAA1iGgAAAA6xBQAACAdQgoAADAOgQUAABgHQIKAACwDgEFAABYh4ACAACsQ0ABAADWIaAAAADrEFAAAIB1CCgAAMA6BBQAAGAdAgoAALAOAQUAAFiHgAIAAKxDQAEAANYhoAAAAOsQUAAAgHUIKAAAwDoEFAAAYJ2IA8qmTZt09913KyUlRVFRUVqxYkXY+KOPPqqoqKiw5Y477girOXbsmEaPHi23263ExESNGzdOJ06caNKBAACA9iPigHLy5Eldc801mjdv3jlr7rjjDh09etRZ3njjjbDx0aNHa+/evSouLtaqVau0adMmTZgwIfLZAwCAdik20g2ys7OVnZ39vTUul0s+n6/Bsf3792v16tXatm2brr/+eknSa6+9pjvvvFMvvPCCUlJSIp0SAABoZ1rkGpQNGzYoOTlZ/fr106RJk/Tll186YyUlJUpMTHTCiSRlZmYqOjpaW7dubYnpAACANibiMyjnc8cdd+jee+9V3759dfDgQf36179Wdna2SkpKFBMTo0AgoOTk5PBJxMYqKSlJgUCgwX1WV1erurraeRwKhZp72gAAwCLNHlAeeOAB5+dBgwZp8ODBuvzyy7VhwwaNGDGiUfssLCzUrFmzmmuKAADAci1+m/Fll12m7t2768CBA5Ikn8+nysrKsJozZ87o2LFj57xupaCgQMFg0FkOHz7c0tMGAACtqMUDyl//+ld9+eWX6tmzpyTJ7/erqqpKpaWlTs369etVV1enjIyMBvfhcrnkdrvDFgAA0H5F/BbPiRMnnLMhknTo0CHt2LFDSUlJSkpK0qxZs5Sbmyufz6eDBw/qySef1BVXXKGsrCxJ0oABA3THHXdo/PjxWrhwoU6fPq3HHntMDzzwAHfwAAAASY04g7J9+3Zdd911uu666yRJ+fn5uu666zRjxgzFxMRo165d+slPfqKrrrpK48aN05AhQ/SnP/1JLpfL2cfSpUvVv39/jRgxQnfeeaduvvlm/cu//EvzHRUAAGjTIj6DMnz4cBljzjm+Zs2a8+4jKSlJRUVFkT41AAC4RPBdPAAAwDoEFAAAYB0CCgAAsA4BBQAAWIeAAgAArENAAQAA1iGgAAAA6xBQAACAdQgoAADAOgQUAABgHQIKAACwDgEFAABYh4ACAACsQ0ABAADWIaAAAADrEFAAAIB1CCgAAMA6BBQAAGAdAgoAALBObGtPAGhufZ56t8X2/fmcnBbbNwDg/+MMCgAAsA4BBQAAWIe3eIAItOTbRwCA/48zKAAAwDoEFAAAYB0CCgAAsA4BBQAAWIeAAgAArENAAQAA1iGgAAAA6xBQAACAdQgoAADAOhEHlE2bNunuu+9WSkqKoqKitGLFirBxY4xmzJihnj17Kj4+XpmZmfr000/Dao4dO6bRo0fL7XYrMTFR48aN04kTJ5p0IAAAoP2IOKCcPHlS11xzjebNm9fg+Ny5c/Xqq69q4cKF2rp1qzp16qSsrCydOnXKqRk9erT27t2r4uJirVq1Sps2bdKECRMafxQAAKBdifi7eLKzs5Wdnd3gmDFGL7/8sqZPn65Ro0ZJkn7/+9/L6/VqxYoVeuCBB7R//36tXr1a27Zt0/XXXy9Jeu2113TnnXfqhRdeUEpKShMOBwAAtAfNeg3KoUOHFAgElJmZ6azzeDzKyMhQSUmJJKmkpESJiYlOOJGkzMxMRUdHa+vWrQ3ut7q6WqFQKGwBAADtV7MGlEAgIEnyer1h671erzMWCASUnJwcNh4bG6ukpCSn5rsKCwvl8XicJTU1tTmnDQAALNMm7uIpKChQMBh0lsOHD7f2lAAAQAtq1oDi8/kkSRUVFWHrKyoqnDGfz6fKysqw8TNnzujYsWNOzXe5XC653e6wBQAAtF/NGlD69u0rn8+ndevWOetCoZC2bt0qv98vSfL7/aqqqlJpaalTs379etXV1SkjI6M5pwMAANqoiO/iOXHihA4cOOA8PnTokHbs2KGkpCSlpaXpiSee0D/90z/pyiuvVN++ffWb3/xGKSkpuueeeyRJAwYM0B133KHx48dr4cKFOn36tB577DE98MAD3MEDAAAkNSKgbN++XbfeeqvzOD8/X5I0duxYLVmyRE8++aROnjypCRMmqKqqSjfffLNWr16tjh07OtssXbpUjz32mEaMGKHo6Gjl5ubq1VdfbYbDAQAA7UGUMca09iQiFQqF5PF4FAwGuR4FZ+nz1LutPQWgTfh8Tk5rTwGXmEj+freJu3gAAMClhYACAACsQ0ABAADWIaAAAADrEFAAAIB1CCgAAMA6BBQAAGAdAgoAALAOAQUAAFiHgAIAAKxDQAEAANYhoAAAAOtE/G3GQHPhS/0AAOfCGRQAAGAdAgoAALAOAQUAAFiHgAIAAKxDQAEAANYhoAAAAOsQUAAAgHUIKAAAwDoEFAAAYB0CCgAAsA4BBQAAWIeAAgAArENAAQAA1iGgAAAA6xBQAACAdQgoAADAOgQUAABgHQIKAACwTrMHlKefflpRUVFhS//+/Z3xU6dOKS8vT926dVPnzp2Vm5urioqK5p4GAABow1rkDMrVV1+to0ePOsuf//xnZ2zKlCl65513tHz5cm3cuFFHjhzRvffe2xLTAAAAbVRsi+w0NlY+n++s9cFgUIsWLVJRUZFuu+02SdLixYs1YMAAbdmyRUOHDm2J6aAJ+jz1bmtPAQBwCWqRMyiffvqpUlJSdNlll2n06NEqLy+XJJWWlur06dPKzMx0avv376+0tDSVlJScc3/V1dUKhUJhCwAAaL+aPaBkZGRoyZIlWr16tRYsWKBDhw7pxz/+sY4fP65AIKC4uDglJiaGbeP1ehUIBM65z8LCQnk8HmdJTU1t7mkDAACLNPtbPNnZ2c7PgwcPVkZGhnr37q0//vGPio+Pb9Q+CwoKlJ+f7zwOhUKEFAAA2rEWv804MTFRV111lQ4cOCCfz6eamhpVVVWF1VRUVDR4zUo9l8slt9sdtgAAgParxQPKiRMndPDgQfXs2VNDhgxRhw4dtG7dOme8rKxM5eXl8vv9LT0VAADQRjT7Wzz/+I//qLvvvlu9e/fWkSNHNHPmTMXExOjBBx+Ux+PRuHHjlJ+fr6SkJLndbk2ePFl+v587eAAAgKPZA8pf//pXPfjgg/ryyy/Vo0cP3XzzzdqyZYt69OghSXrppZcUHR2t3NxcVVdXKysrS/Pnz2/uaQAAgDYsyhhjWnsSkQqFQvJ4PAoGg1yP0sL4HBSg/fp8Tk5rTwGXmEj+fvNdPAAAwDoEFAAAYB0CCgAAsA4BBQAAWIeAAgAArENAAQAA1iGgAAAA6xBQAACAdQgoAADAOgQUAABgHQIKAACwDgEFAABYh4ACAACsQ0ABAADWIaAAAADrEFAAAIB1CCgAAMA6BBQAAGAdAgoAALAOAQUAAFiHgAIAAKxDQAEAANYhoAAAAOsQUAAAgHUIKAAAwDoEFAAAYB0CCgAAsA4BBQAAWIeAAgAArENAAQAA1olt7QkAAGCDPk+92yL7/XxOTovst71r1TMo8+bNU58+fdSxY0dlZGToo48+as3pAAAAS7TaGZQ333xT+fn5WrhwoTIyMvTyyy8rKytLZWVlSk5Obq1pAQDQZrTUWR+p9c/8tNoZlBdffFHjx4/Xz3/+c6Wnp2vhwoVKSEjQ7373u9aaEgAAsESrnEGpqalRaWmpCgoKnHXR0dHKzMxUSUnJWfXV1dWqrq52HgeDQUlSKBRqkfkNnLmmRfa7Z1ZWi+xXark5A2i/0qYsb7F9t+TrXUupq/66Rfbbkn1uSS3xN7Z+n8aY89a2SkD529/+ptraWnm93rD1Xq9Xn3zyyVn1hYWFmjVr1lnrU1NTW2yOLcHzcmvPAAAuDl7v2r6W/P/w+PHj8ng831vTJu7iKSgoUH5+vvO4rq5Ox44dU7du3RQVFdWKM7NfKBRSamqqDh8+LLfb3drTsRZ9unD06sLQpwtHry5Me+iTMUbHjx9XSkrKeWtbJaB0795dMTExqqioCFtfUVEhn893Vr3L5ZLL5Qpbl5iY2JJTbHfcbneb/Qd9MdGnC0evLgx9unD06sK09T6d78xJvVa5SDYuLk5DhgzRunXrnHV1dXVat26d/H5/a0wJAABYpNXe4snPz9fYsWN1/fXX68Ybb9TLL7+skydP6uc//3lrTQkAAFii1QLK/fffry+++EIzZsxQIBDQtddeq9WrV5914SyaxuVyaebMmWe9RYZw9OnC0asLQ58uHL26MJdan6LMhdzrAwAAcBHxZYEAAMA6BBQAAGAdAgoAALAOAQUAAFiHgNKK+vTpo6ioqLOWvLy8sDpjjLKzsxUVFaUVK1Y463fu3KkHH3xQqampio+P14ABA/TKK6+c9TwbNmzQD3/4Q7lcLl1xxRVasmTJWTXz5s1Tnz591LFjR2VkZOijjz4KGz916pTy8vLUrVs3de7cWbm5uWd90F5Lamqvvu3LL79Ur169FBUVpaqqqrCxtt6r5urTkiVLNHjwYHXs2FHJyclnbb9r1y79+Mc/VseOHZWamqq5c+eetY/ly5erf//+6tixowYNGqT33nvvrDnMmDFDPXv2VHx8vDIzM/Xpp582vQkXqDl6tW3bNo0YMUKJiYnq2rWrsrKytHPnzrCaS6FXw4cPP2ts4sSJYfsoLy9XTk6OEhISlJycrKlTp+rMmTNhNe399+98fbqUXtMviEGrqaysNEePHnWW4uJiI8l8+OGHYXUvvviiyc7ONpLM22+/7axftGiR+Yd/+AezYcMGc/DgQfPv//7vJj4+3rz22mtOzWeffWYSEhJMfn6+2bdvn3nttddMTEyMWb16tVOzbNkyExcXZ373u9+ZvXv3mvHjx5vExERTUVHh1EycONGkpqaadevWme3bt5uhQ4eaH/3oRy3Wm+9qaq++bdSoUU7NV1995axvD71qjj798z//s0lJSTFLly41Bw4cMDt37jQrV650xoPBoPF6vWb06NFmz5495o033jDx8fHmt7/9rVPzl7/8xcTExJi5c+eaffv2menTp5sOHTqY3bt3OzVz5swxHo/HrFixwuzcudP85Cc/MX379jXffPNNi/Tmu5raq+PHj5ukpCTz6KOPmk8++cTs2bPH5ObmGq/Xa2pqaowxl06vbrnlFjN+/PiwmmAw6Gx/5swZM3DgQJOZmWk+/vhj895775nu3bubgoICp+ZS+P07X58updf0C0FAscjjjz9uLr/8clNXV+es+/jjj80PfvADc/To0e/9o1vvl7/8pbn11ludx08++aS5+uqrw2ruv/9+k5WV5Ty+8cYbTV5envO4trbWpKSkmMLCQmOMMVVVVaZDhw5m+fLlTs3+/fuNJFNSUtKoY22qxvZq/vz55pZbbjHr1q07K6C0x15F2qdjx46Z+Ph4s3bt2nPuc/78+aZr166murraWTdt2jTTr18/5/HPfvYzk5OTE7ZdRkaG+fu//3tjjDF1dXXG5/OZ559/3hmvqqoyLpfLvPHGG40+3qaItFfbtm0zkkx5ebmzbteuXUaS+fTTT40xl06vbrnlFvP444+fs/69994z0dHRJhAIOOsWLFhg3G6305tL4ffvfH1qyKXymt4Q3uKxRE1Njf7whz/oF7/4hfMFiF9//bUeeughzZs3r8HvKGpIMBhUUlKS87ikpESZmZlhNVlZWSopKXGet7S0NKwmOjpamZmZTk1paalOnz4dVtO/f3+lpaU5NRdTY3u1b98+zZ49W7///e8VHX32P/321qvG9Km4uFh1dXX63//9Xw0YMEC9evXSz372Mx0+fNipKSkp0bBhwxQXF+esy8rKUllZmb766iun5vt6eejQIQUCgbAaj8ejjIyMNvNvql+/furWrZsWLVqkmpoaffPNN1q0aJEGDBigPn36SLp0eiVJS5cuVffu3TVw4EAVFBTo66+/dsZKSko0aNCgsA/izMrKUigU0t69e52a9v77J31/nxpyKbymn0ub+DbjS8GKFStUVVWlRx991Fk3ZcoU/ehHP9KoUaMuaB+bN2/Wm2++qXfffddZFwgEzvp0Xq/Xq1AopG+++UZfffWVamtrG6z55JNPnH3ExcWd9QWNXq9XgUAggqNsHo3pVXV1tR588EE9//zzSktL02effXZWTXvrVWP69Nlnn6murk7PPfecXnnlFXk8Hk2fPl233367du3apbi4OAUCAfXt2zdsu/qeBAIBde3a9Zy9rO9B/f9+X83F1JhedenSRRs2bNA999yjZ555RpJ05ZVXas2aNYqN/b+X1kulVw899JB69+6tlJQU7dq1S9OmTVNZWZneeustSef+3aof+76a9vT7d74+fdel8pp+LgQUSyxatEjZ2dnOV1D/13/9l9avX6+PP/74grbfs2ePRo0apZkzZ2rkyJEtOdVW15heFRQUaMCAAXr44Ycv1jRbXWP6VFdXp9OnT+vVV191/h298cYb8vl8+vDDD5WVlXVR5n6xNaZX33zzjcaNG6ebbrpJb7zxhmpra/XCCy8oJydH27ZtU3x8/MWa/kX13V5J0oQJE5yfBw0apJ49e2rEiBE6ePCgLr/88taYZqtrap8updf0c+EtHgv8z//8j9auXau/+7u/c9atX79eBw8eVGJiomJjY53/IsvNzdXw4cPDtt+3b59GjBihCRMmaPr06WFjPp/vrCuzKyoq5Ha7FR8fr+7duysmJqbBmvrT2j6fTzU1NWfd8fLtmoulsb1av369li9f7oyPGDFCktS9e3fNnDlTUvvqVWP71LNnT0lSenq6s12PHj3UvXt3lZeXSzp3n+rHvq/m2+Pf3q6hmoulsb0qKirS559/rsWLF+uGG27Q0KFDVVRUpEOHDmnlypWSLo1eNSQjI0OSdODAAUlN60N7+f1ryHf7VO9Sek3/PgQUCyxevFjJycnKyclx1j311FPatWuXduzY4SyS9NJLL2nx4sVO3d69e3Xrrbdq7NixevbZZ8/at9/v17p168LWFRcXy+/3S5Li4uI0ZMiQsJq6ujqtW7fOqRkyZIg6dOgQVlNWVqby8nKn5mJpbK/+8z//Uzt37nTG/+3f/k2S9Kc//cm5BbA99aqxfbrpppucOdc7duyY/va3v6l3796S/q9PmzZt0unTp52a4uJi9evXT127dnVqvq+Xffv2lc/nC6sJhULaunVrm/k39fXXXys6Ojrs+oL6x3V1dZIujV41pL5f9YHX7/dr9+7dqqysdGqKi4vldrudMNzef/8a8t0+SZfea/r3au2rdC91tbW1Ji0tzUybNu28tfrOXQS7d+82PXr0MA8//HDYbWuVlZVOTf0taVOnTjX79+838+bNa/CWNJfLZZYsWWL27dtnJkyYYBITE8OuuJ84caJJS0sz69evN9u3bzd+v9/4/f7macIFakqvvuvDDz88523Gbb1XTe3TqFGjzNVXX23+8pe/mN27d5u77rrLpKenO7fOVlVVGa/Xa8aMGWP27Nljli1bZhISEs66dTY2Nta88MILZv/+/WbmzJkN3jqbmJhoVq5caXbt2mVGjRp1UW+dNaZpvdq/f79xuVxm0qRJZt++fWbPnj3m4YcfNh6Pxxw5csQYc2n06sCBA2b27Nlm+/bt5tChQ2blypXmsssuM8OGDXNq6m8zHjlypNmxY4dZvXq16dGjR4O3GbfX378L6dOl9pp+PgSUVrZmzRojyZSVlZ239rsvkDNnzjSSzlp69+4dtt2HH35orr32WhMXF2cuu+wys3jx4rP2/dprr5m0tDQTFxdnbrzxRrNly5aw8W+++cb88pe/NF27djUJCQnmpz/9qTl69GhjDrnRmtKr72oooNSvb+u9amqfgsGg+cUvfmESExNNUlKS+elPfxp2K60xxuzcudPcfPPNxuVymR/84Admzpw5Z+37j3/8o7nqqqtMXFycufrqq827774bNl5XV2d+85vfGK/Xa1wulxkxYsQFzbk5NbVXH3zwgbnpppuMx+MxXbt2NbfddttZt2m2916Vl5ebYcOGmaSkJONyucwVV1xhpk6dGvb5HsYY8/nnn5vs7GwTHx9vunfvbn71q1+Z06dPh9W059+/C+nTpfaafj5Rxhhzsc7WAAAAXAiuQQEAANYhoAAAAOsQUAAAgHUIKAAAwDoEFAAAYB0CCgAAsA4BBQAAWIeAAgAArENAAQAA1iGgAAAA6xBQAACAdQgoAADAOv8Pt+ql3vrqwRIAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 2666\n",
      "working on HD 303 out of 2666\n",
      "working on HD 710 out of 2666\n",
      "working on HD 1010 out of 2666\n",
      "working on HD 1310 out of 2666\n",
      "working on HD 1650 out of 2666\n",
      "working on HD 1974 out of 2666\n",
      "working on HD 2286 out of 2666\n",
      "all done checking HD and complement contiguity for all 2666 HDs\n",
      "underpop contigFail, enclaveFail = 0 0 out of 13\n",
      "overpop contigFail, enclaveFail = 0 0 out of 2328\n",
      "total contigFail, enclaveFail =  0 0\n",
      "CCB unit 2283 with pop 160963.0 now has use 0.99769\n"
     ]
    }
   ],
   "source": [
    "print(\"Here are the stats prior to any equi-pop patching\")\n",
    "shedUnitUse = [0. for u in range(nUnits)]\n",
    "shedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "shedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in shedHDlist[t]:\n",
    "        shedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "#plt.hist(latestUnitUse,bins=50,weights=unitPop,label=\"pre-squaring\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.hist(shedUnitUse, bins=50, weights=unitPop,label=\"shed\",histtype=\"step\")\n",
    "plt.legend()\n",
    "#latestAvg, latestSD = getWeightedAvgAndSD(latestUnitUse,unitPop)\n",
    "shedUnitUseAvg, shedUnitUseSD = getWeightedAvgAndSD(shedUnitUse,unitPop)\n",
    "#print(\"orig unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "print(\"shed unit avg and sd usage are\", r5(shedUnitUseAvg),  r5(shedUnitUseSD) )\n",
    "plt.show()\n",
    "# note: when I ran this early Jan, went from 0.12662 to 0.09961 to 0.09432 SD orig-amped-shed, but contig not yet done\n",
    "print(\"and here are the final populations\")\n",
    "plt.hist([shedHDpop[t] for t in popHDlist],bins=20)\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "failEnclaveSet, failContigSet = set(), set()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs,5)\n",
    "    if not noEnclave:\n",
    "        noEnclave, eList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if not unbroken or not noEnclave:\n",
    "        #print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "        pass\n",
    "    if not unbroken:\n",
    "        failContigSet.add(t)\n",
    "    if not noEnclave:\n",
    "        failEnclaveSet.add(t)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")\n",
    "failContigUnderpopped, failEnclaveUnderpopped = set(underPoppedList).intersection(failContigSet), set(underPoppedList).intersection(failEnclaveSet)\n",
    "failContigOverpopped, failEnclaveOverpopped = set(overPoppedList).intersection(failContigSet), set(overPoppedList).intersection(failEnclaveSet)\n",
    "print(\"underpop contigFail, enclaveFail =\",len(failContigUnderpopped), len(failEnclaveUnderpopped),\"out of\",len(underPoppedList))\n",
    "print(\"overpop contigFail, enclaveFail =\",len(failContigOverpopped), len(failEnclaveOverpopped),\"out of\",len(overPoppedList))\n",
    "print(\"total contigFail, enclaveFail = \",len(failContigSet), len(failEnclaveSet) )\n",
    "for u in range(nUnits):\n",
    "    if abs( allUnits[u]%1 - 0.25) < 0.01:\n",
    "        print(\"CCB unit\",u,\"with pop\",unitPop[u],\"now has use\",r5(unitUse[u]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "af4a9d26-98ab-4ceb-96c1-f2083abcc5d7",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we will remove CCB unit 1647 from HD 962 leaving it with pop 740526.0\n",
      "we will remove CCB unit 1647 from HD 1321 leaving it with pop 715813.0\n",
      "we will remove CCB unit 1648 from HD 1481 leaving it with pop 426197.66490213\n",
      "we will remove CCB unit 1647 from HD 1999 leaving it with pop 738985.0\n"
     ]
    }
   ],
   "source": [
    "#see MD code if we need to remove a stuck CCB's from any HDs and then redo the square-up after dropping them\n",
    "                \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "id": "e7bfa674-8fc8-42c8-86e9-76d334d3c47c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"opt3ContigGoodPop.csv\" #\"contigUnpatchedB.csv\" unpatchedContigGoodPop.csv\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 430,
   "id": "c0c3a3d8-cf79-40ad-aa2e-b6793266f1d4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prior to patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    }
   ],
   "source": [
    "#SKIP THIS FOR STATES WITH FRAGMENTED VTD'S ###########\n",
    "print(\"prior to patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        for i,uu in enumerate(surrounders):\n",
    "            if u == uu:\n",
    "                unitVTDlist[u].append(surroundedVTDs[i])\n",
    "\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        vtdList[t] += unitVTDlist[u]\n",
    "    #add more stuff here to convert to vtd lists\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"needsEnclaveRemoval.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "7a36c0ba-5a68-445b-a223-b7fa55dfd728",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are 4110 HD centers\n"
     ]
    }
   ],
   "source": [
    "nHDs = len(vtdGeom)\n",
    "print(\"there are\",nHDs,\"HD centers\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "id": "1b794580-5a58-4238-b310-7c87872ed679",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this optional RESTART block pulls in an existing UNIT (not vtd) list for patching\n",
      "Must have already established unitGeoms, pops, topology -- or read in via next block\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the unpatched UNIT list file, e.g. ./2024state_HD_output/NC2666unpatchedContigGoodPop.csv ./2024state_HD_output/NC2666opt3ContigGoodPop.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sum of HDweight should be unity, actually is 0.9999999999999123\n",
      "I will now renormalize\n",
      "normalized weight is now 1.0\n",
      "I read in 2666 HD lists of units\n",
      "orig unit avg and sd usage are 1.00131 0.09076\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"this optional RESTART block pulls in an existing UNIT (not vtd) list for patching\") #vtdlist for patching\")\n",
    "print(\"Must have already established unitGeoms, pops, topology -- or read in via next block\")\n",
    "guessedFile = \"enter the unpatched UNIT list file, e.g. ./2024state_HD_output/\"+STATE+str(nHDs)+\"unpatchedContigGoodPop.csv\"\n",
    "infile = input(guessedFile)\n",
    "inDF = pd.read_csv(infile)\n",
    "vtdListString = inDF[\"HDunitList\"]  #inDF[\"HDvtdList\"]\n",
    "nHDs = len(vtdListString)\n",
    "inVTDlist = [ast.literal_eval(vtdListString[t]) for t in range(nHDs)]\n",
    "HDweight = inDF[\"HDweight\"]\n",
    "sumWt = np.sum(HDweight)\n",
    "print(\"sum of HDweight should be unity, actually is\",sumWt)\n",
    "print(\"I will now renormalize\")\n",
    "HDweight = [HDweight[t] /sumWt for t in range(nHDs)]\n",
    "print(\"normalized weight is now\",np.sum(HDweight))\n",
    "HDvPop = inDF[\"HDvPop\"].to_list()\n",
    "hdCPx, hdCPy = inDF[\"centroid x\"], inDF[\"centroid y\"]\n",
    "hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs)]\n",
    "print(\"I read in\",nHDs,\"HD lists of units\") #vtds\")\n",
    "HDunitList = [inVTDlist[t].copy() for t in range(nHDs)]\n",
    "#HDunitList = [list() for t in range(nHDs)]\n",
    "#for t in range(nHDs):\n",
    "#    if t%500 == 0:\n",
    "#        print(\"working on converting HD\",t,\"from vtd list to unit list\")\n",
    "#    for v in inVTDlist[t]:  #this will skip over surrounded units, whose pops we have added to their surrounders\n",
    "#        if v in allUnits:\n",
    "#            HDunitList[t].append(allUnits.index(v))\n",
    "#    for c in unitCounties:\n",
    "#        if countyTractList[c][0] in inVTDlist[t]:\n",
    "#            u = allUnits.index(c+0.5)\n",
    "#            HDunitList[t].append(u)\n",
    "#    for j, L in enumerate(CCBlist):\n",
    "#        c = L[0]\n",
    "#        if countyTractList[c][0] in inVTDlist[t]:\n",
    "#            u = allUnits.index(j+0.25)\n",
    "#            HDunitList[t].append(u) \n",
    "            \n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "8014f0bf-74bb-40bc-b217-af4e204ea9a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "upon restart, need to pull in unit topology and data\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the unpatched UNIT list file, e.g. ./state_map_files/MNunitTopologies_06Apr24.csv ./state_map_files/MNunitTopologies_06Apr24.csv\n"
     ]
    }
   ],
   "source": [
    "print(\"upon restart, need to pull in unit topology and data\")  #note, this won't have geometries for plotting, but fine for patching\n",
    "topologyFile = \"enter the unpatched UNIT list file, e.g. ./state_map_files/MNunitTopologies_06Apr24.csv\"\n",
    "infile = input(topologyFile)\n",
    "topDF = pd.read_csv(infile)\n",
    "unitCPx, unitCPy, unitPop = topDF[\"centroid x\"], topDF[\"centroid y\"], topDF[\"unitPop\"]\n",
    "nUnits = len(unitPop)\n",
    "unitCP = [Point(unitCPx[u], unitCPy[u]) for u in range(nUnits) ]\n",
    "onBorder = topDF[\"onBorder\"]\n",
    "borderSet = set()\n",
    "for i, onB in enumerate(onBorder):\n",
    "    if onB == 1:\n",
    "        borderSet.add(i)\n",
    "borderList = list(borderSet)\n",
    "\n",
    "nbrListString = topDF[\"neighborList\"]\n",
    "unitNbrs = [ast.literal_eval(nbrListString[u]) for u in range(nUnits)]\n",
    "unitParentVTDno = topDF[\"unitParentVTDno\"]  #NOTE: some units are VTD fragments, so they share a parentVTDno\n",
    "uVLstring = topDF[\"unitVTDlist\"]\n",
    "unitNbrs = [ast.literal_eval(uVLstring[u]) for u in range(nUnits)]\n",
    "allUnits = topDF[\"allUnits\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "5f3a5392-11f1-4061-a458-aecd834b2748",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working avg precinct-to-HDcP distance for HD 0\n",
      "working avg precinct-to-HDcP distance for HD 800\n",
      "working avg precinct-to-HDcP distance for HD 1600\n",
      "working avg precinct-to-HDcP distance for HD 2400\n",
      "working avg precinct-to-HDcP distance for HD 3200\n",
      "working avg precinct-to-HDcP distance for HD 4000\n",
      "all avgDist to HD centers computed\n"
     ]
    }
   ],
   "source": [
    "#needed for restart only  about 5sec per 2000 HDs\n",
    "avgDist = [0. for t in range(nHDs)]\n",
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if t%800 == 0:\n",
    "        print(\"working avg precinct-to-HDcP distance for HD\",t)\n",
    "    if HDvPop[t] > 0.1 * aDP:\n",
    "        avgDist[t] = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        popHDlist.append(t)\n",
    "print(\"all avgDist to HD centers computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "id": "ea0db02f-9df8-4906-acb4-086c29c0fcc1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking for discontiguities for HD 0\n",
      "checking for discontiguities for HD 500\n",
      "checking for discontiguities for HD 1000\n",
      "checking for discontiguities for HD 1500\n",
      "checking for discontiguities for HD 2000\n",
      "out of 2388 total HDs, there were 2388 0 0 0 HDs that were clean, discontig only, enclave-only, both problems.  Should all be zeroes\n"
     ]
    }
   ],
   "source": [
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()  #optional contiguity check\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"checking for discontiguities for HD\",t)\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems.  Should all be zeroes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "id": "27b42f93-dc87-4afe-8eb3-f30fdff4a737",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking unitUse, pop for county clusters\n",
      "2283 0.99769 160963.0\n"
     ]
    }
   ],
   "source": [
    "print(\"checking unitUse, pop for county clusters\")\n",
    "for uNo in allUnits:\n",
    "    if uNo - int(uNo) > 0.23 and uNo - int(uNo) < 0.27:\n",
    "        u = allUnits.index(uNo)\n",
    "        print(u,r5(unitUse[u]), unitPop[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "id": "72941b8f-7be6-4a31-9377-618f44a34336",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unpatchedUnitUse = unitUse.copy()              #... for safekeeping\n",
    "unpatchedHDlist =  [HDunitList[t].copy() for t in range(nHDs) ]\n",
    "unpatchedHDpop =   HDvPop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "id": "5f9ca091-1eb6-4135-a233-7f5ae0f5e3d1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unitUse = unpatchedUnitUse.copy()              #... for restarting\n",
    "HDunitList =  [unpatchedHDlist[t].copy() for t in range(nHDs) ]\n",
    "HDvPop =   unpatchedHDpop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc95ca58-c27f-4ac9-b6f7-234a94945f07",
   "metadata": {},
   "outputs": [],
   "source": [
    "#BELOW UNDERUSED IS MUCH SLOWER THAN OVERUSED -- WHY??  try sub in wontEnclave for enclaveCheck"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "id": "e9dd457d-fb37-49cf-9b19-19c17c328ede",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we exchange in under-used, THEN shed over-used\n",
      "Currently, we will stop patching when the overall sd of usage is less than 0.07\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated maxSD value 0.05\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we will stop patching on individual underused units when their usage exceeds 0.95\n",
      "this would currently cover a total of 670 units\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated number of units to try boosting usage 100\n",
      "enter updated stopMinUse value for ending usage boost on a unit 0.97\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 849 units out of 2284 with usage below 0.97\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.05\n",
      "enter 1 to print out stats for every patched HD, otherwise enter reporting frequency 10\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let's further tighten the distro with exchanges up to 37282\n",
      "current avg and SD of unit usage are 1.00131 0.09076 . Now trying to increase up to 100 units' underusage\n",
      "all done trying to increase usage of unit 1692 final usage = 0.97138 30 sec elapsed 119 4 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00129 0.08788\n",
      "all done trying to increase usage of unit 1974 final usage = 0.72936 33 sec elapsed 27 0 successful, failed patches, couldn't start= 12\n",
      "current avg and SD of usage are 1.00128 0.08618\n",
      "all done trying to increase usage of unit 1981 final usage = 0.83015 37 sec elapsed 45 0 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00127 0.08419\n",
      "all done trying to increase usage of unit 1180 final usage = 0.97106 69 sec elapsed 85 1 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00127 0.08228\n",
      "all done trying to increase usage of unit 1594 final usage = 0.77349 72 sec elapsed 23 0 successful, failed patches, couldn't start= 23\n",
      "current avg and SD of usage are 1.00126 0.08137\n",
      "all done trying to increase usage of unit 369 final usage = 0.97392 104 sec elapsed 73 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00127 0.07998\n",
      "all done trying to increase usage of unit 1783 final usage = 0.84886 119 sec elapsed 41 3 successful, failed patches, couldn't start= 12\n",
      "current avg and SD of usage are 1.00127 0.07821\n",
      "all done trying to increase usage of unit 1830 final usage = 0.85237 130 sec elapsed 45 3 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00127 0.07705\n",
      "all done trying to increase usage of unit 1703 final usage = 0.97234 167 sec elapsed 94 2 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00127 0.07584\n",
      "begin usage increase for unit 29 with usage 0.68412 . Sec, total UU units tried = 167 10\n",
      "all done trying to increase usage of unit 29 final usage = 0.799 181 sec elapsed 33 4 successful, failed patches, couldn't start= 23\n",
      "current avg and SD of usage are 1.00128 0.07512\n",
      "all done trying to increase usage of unit 1947 final usage = 0.79981 184 sec elapsed 24 0 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00127 0.07441\n",
      "all done trying to increase usage of unit 1404 final usage = 0.92116 209 sec elapsed 48 7 successful, failed patches, couldn't start= 30\n",
      "current avg and SD of usage are 1.00125 0.07316\n",
      "all done trying to increase usage of unit 1973 final usage = 0.87597 213 sec elapsed 32 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00124 0.07188\n",
      "all done trying to increase usage of unit 441 final usage = 0.91299 220 sec elapsed 44 1 successful, failed patches, couldn't start= 27\n",
      "current avg and SD of usage are 1.00126 0.07047\n",
      "all done trying to increase usage of unit 28 final usage = 0.79755 231 sec elapsed 20 1 successful, failed patches, couldn't start= 30\n",
      "current avg and SD of usage are 1.00125 0.07005\n",
      "all done trying to increase usage of unit 1179 final usage = 0.97419 265 sec elapsed 61 7 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00126 0.06902\n",
      "all done trying to increase usage of unit 442 final usage = 0.97508 271 sec elapsed 54 0 successful, failed patches, couldn't start= 24\n",
      "current avg and SD of usage are 1.00127 0.06762\n",
      "all done trying to increase usage of unit 1498 final usage = 0.97241 311 sec elapsed 57 18 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00126 0.06694\n",
      "all done trying to increase usage of unit 1413 final usage = 0.97359 333 sec elapsed 55 4 successful, failed patches, couldn't start= 21\n",
      "current avg and SD of usage are 1.00128 0.06594\n",
      "begin usage increase for unit 45 with usage 0.74689 . Sec, total UU units tried = 333 20\n",
      "all done trying to increase usage of unit 45 final usage = 0.81156 343 sec elapsed 16 2 successful, failed patches, couldn't start= 39\n",
      "current avg and SD of usage are 1.00128 0.0657\n",
      "all done trying to increase usage of unit 2207 final usage = 0.97862 348 sec elapsed 42 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00128 0.06423\n",
      "all done trying to increase usage of unit 1832 final usage = 0.91737 366 sec elapsed 34 8 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00128 0.06371\n",
      "all done trying to increase usage of unit 1689 final usage = 0.97525 390 sec elapsed 61 7 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00129 0.06305\n",
      "all done trying to increase usage of unit 1976 final usage = 0.93999 396 sec elapsed 36 0 successful, failed patches, couldn't start= 19\n",
      "current avg and SD of usage are 1.00128 0.06231\n",
      "all done trying to increase usage of unit 366 final usage = 0.97042 421 sec elapsed 39 5 successful, failed patches, couldn't start= 14\n",
      "current avg and SD of usage are 1.00128 0.06182\n",
      "all done trying to increase usage of unit 1427 final usage = 0.97005 441 sec elapsed 33 5 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00128 0.06124\n",
      "all done trying to increase usage of unit 27 final usage = 0.90307 453 sec elapsed 44 2 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00128 0.06077\n",
      "all done trying to increase usage of unit 1945 final usage = 0.9701 458 sec elapsed 40 0 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00129 0.06005\n",
      "all done trying to increase usage of unit 1493 final usage = 0.99029 471 sec elapsed 33 0 successful, failed patches, couldn't start= 24\n",
      "current avg and SD of usage are 1.00128 0.05885\n",
      "begin usage increase for unit 1707 with usage 0.81982 . Sec, total UU units tried = 472 30\n",
      "all done trying to increase usage of unit 1707 final usage = 0.93572 478 sec elapsed 23 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00128 0.05826\n",
      "all done trying to increase usage of unit 2195 final usage = 0.97078 484 sec elapsed 31 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00128 0.0574\n",
      "all done trying to increase usage of unit 2237 final usage = 0.97539 487 sec elapsed 21 0 successful, failed patches, couldn't start= 23\n",
      "current avg and SD of usage are 1.00129 0.05575\n",
      "all done trying to increase usage of unit 97 final usage = 0.9716 497 sec elapsed 35 22 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00128 0.05458\n",
      "all done trying to increase usage of unit 2208 final usage = 0.97597 501 sec elapsed 20 0 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00128 0.05376\n",
      "all done trying to increase usage of unit 362 final usage = 0.97453 522 sec elapsed 40 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00127 0.05315\n",
      "all done trying to increase usage of unit 31 final usage = 0.97112 539 sec elapsed 33 6 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00127 0.05285\n",
      "all done trying to increase usage of unit 2235 final usage = 0.97379 542 sec elapsed 22 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00127 0.05237\n",
      "all done trying to increase usage of unit 1779 final usage = 0.96712 552 sec elapsed 31 0 successful, failed patches, couldn't start= 11\n",
      "current avg and SD of usage are 1.00127 0.05202\n",
      "all done trying to increase usage of unit 44 final usage = 0.97822 563 sec elapsed 34 4 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00127 0.05167\n",
      "begin usage increase for unit 1593 with usage 0.83387 . Sec, total UU units tried = 563 40\n",
      "all done trying to increase usage of unit 1593 final usage = 0.97456 579 sec elapsed 34 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00126 0.05117\n",
      "all done trying to increase usage of unit 243 final usage = 0.95744 588 sec elapsed 29 0 successful, failed patches, couldn't start= 29\n",
      "current avg and SD of usage are 1.00126 0.05083\n",
      "all done trying to increase usage of unit 26 final usage = 0.94857 596 sec elapsed 26 1 successful, failed patches, couldn't start= 16\n",
      "current avg and SD of usage are 1.00126 0.05065\n",
      "all done trying to increase usage of unit 73 final usage = 0.97715 598 sec elapsed 18 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00128 0.04964\n"
     ]
    }
   ],
   "source": [
    "#FIRST PATCHING BLOCK - boosting underuse.  Suppresses long strings.  For some states (e.g. MA), do overused first. MA:over-und-over-und\n",
    "print(\"Here, we exchange in under-used, THEN shed over-used\")\n",
    "maxSD = 0.07  #0.07  #0.05   #adjust down if distro already tight\n",
    "print(\"Currently, we will stop patching when the overall sd of usage is less than\",maxSD)\n",
    "maxSD = float(input(\"enter updated maxSD value\"))\n",
    "stopMinUse = 1. - maxSD\n",
    "print(\"we will stop patching on individual underused units when their usage exceeds\",r5(stopMinUse))\n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        maxNtries +=1\n",
    "print(\"this would currently cover a total of\",maxNtries,\"units\")\n",
    "maxNtries = int(input(\"enter updated number of units to try boosting usage\"))\n",
    "stopMinUse = float(input(\"enter updated stopMinUse value for ending usage boost on a unit\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage below\",stopMinUse)\n",
    "nSmallUsers = 5\n",
    "maxExchangePop = 0.05*aDP \n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP\n",
    "debug1 = int(input(\"enter 1 to print out stats for every patched HD, otherwise enter reporting frequency\"))\n",
    "print(\"Let's further tighten the distro with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "\n",
    "attemptedSmallUs, startTime = list(), time.time()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to increase up to\",maxNtries,\"units' underusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedSmallUs) < maxNtries: \n",
    "    #each round, find the (5) most underused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nSmallFound, smallUsers = 0,0,list()\n",
    "    while nSmallFound < nSmallUsers:\n",
    "        consideredSmallU = idx[idxNo]\n",
    "        if consideredSmallU not in attemptedSmallUs:\n",
    "            smallUsers.append(consideredSmallU)\n",
    "            nSmallFound +=1\n",
    "        idxNo +=1\n",
    "    UUUclusters = [ [b] + unitNbrs[b] for b in smallUsers ]\n",
    "    smallUnderUse = [np.sum([(unitUse[j] - 1.) for j in UUUclusters[i] ]) for i in range(nSmallUsers) ]\n",
    "    smallI = smallUnderUse.index(np.max(smallUnderUse))\n",
    "    UUU = smallUsers[ smallI ]  #pick the unit that centers cluster with least composite use\n",
    "    attemptedSmallUs.append(UUU)  #so we don't try this unit again in a future loop\n",
    "    UUUc = UUUclusters[smallI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    if len(attemptedSmallUs) % debug1 == 0:\n",
    "        print(\"begin usage increase for unit\",UUU,\"with usage\",r5(unitUse[UUU]),\". Sec, total UU units tried =\",\n",
    "              int(time.time()-startTime),len(attemptedSmallUs) )\n",
    "    for u in UUUc.copy():\n",
    "        if unitUse[u] > 1.:\n",
    "            UUUc.remove(u)  #...drop any overused neighbors of the primary UUU from the target sheddable cluster\n",
    "    uuuHDs, uuuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if UUU not in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(UUUc) ) > 0: #the UUU or one of its underused 1-neighbors adjoins this HD\n",
    "                uuuHDs.append(t)  #Note: we'll check later if we can contiguously pick up the UUU's cluster\n",
    "                uuuDists.append( unitCP[UUU].distance(hdCP[t]) / avgDist[t] )\n",
    "    idx0 = np.argsort(uuuDists)\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo = 0,0,0,-1\n",
    "    while unitUse[UUU] < stopMinUse and idxNo < 0.8*len(uuuHDs): #arbitrarily only examine 80% closest of HDs\n",
    "        excess, giveUpOnShedding = 99*aDP, True  #default = failed swap\n",
    "        idxNo += 1\n",
    "        if idxNo % 20 == 0 and debug1 == 1:\n",
    "            print(\"try to add unit\",UUU,\"from\",abs(idxNo),\"th HD.  Usage up to\",unitUse[UUU] )\n",
    "        t = uuuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).union(set(UUUc))\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        loopUUUc = UUUc.copy()  #default; we will add whole cluster\n",
    "        if not (contig and complementContig): #we can't add whole cluster; neighbors may be enclavy.   Try just adding the UUU\n",
    "            trySet = set(HDunitList[t]).union({UUU})\n",
    "            contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "            loopUUUc = [UUU]\n",
    "        if contig and complementContig:  #we can at least add the cluster, let's go for more\n",
    "            HDuuuSet = set(loopUUUc).difference(set(HDunitList[t]))  #the subset of the UUU cluster that adjoins (NOT in) this HD\n",
    "            HDuuuCpop = np.sum([unitPop[u] for u in HDuuuSet])\n",
    "            giveUpOnAdding = False            \n",
    "            addCandidates, addUseDists = list(), list()\n",
    "            uuCandidates = getAdjoiners(trySet, unitNbrs)  #any adjoiner can be picked up, even if far from UUUc\n",
    "            for u in uuCandidates:\n",
    "                if HDuuuCpop + unitPop[u] <= maxExchangePop:\n",
    "                    addCandidates.append(u)  #Below's relative scoring of use and distance is a bit arbitrary\n",
    "                    addUseDists.append((unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t])  #bias toward close, underused\n",
    "            if len(addCandidates) == 0:\n",
    "                giveUpOnAdding = True\n",
    "            while HDuuuCpop < maxExchangePop and not giveUpOnAdding:\n",
    "                addNneighbors = [len( set(unitNbrs[addC]).intersection(trySet) ) for addC in addCandidates ]\n",
    "                addScores = addUseDists.copy()\n",
    "                for jjj, u in enumerate(addCandidates):\n",
    "                    if addNneighbors[jjj] == 1:\n",
    "                        addScores[jjj] += 0.4321    #discourage growing fingers\n",
    "                #print(\"HDuuuCpop is now\",HDuuuCpop)\n",
    "                idx, ij, notYetPicked = np.argsort(addScores), 0, True\n",
    "                while ij < 0.5*len(addScores) and notYetPicked:\n",
    "                    listNo = idx[ij]   #work from low to high score\n",
    "                    addU = addCandidates[listNo]\n",
    "                    cContig = wontEnclave(addU, list(trySet), unitNbrs, borderUnits)  #4/20/24 sub this in as faster? vs below line\n",
    "                    #contig,cContig, __, ___ = enclaveCheck(list(trySet.union({addU}) ), unitNbrs)  #4/20/24 this is unnec slow\n",
    "                    if cContig: #contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDuuuCpop += unitPop[addU]\n",
    "                        HDuuuSet.add(addU)\n",
    "                        trySet.add(addU)\n",
    "                        del addUseDists[addCandidates.index(addU)]\n",
    "                        del addCandidates[addCandidates.index(addU)]                        \n",
    "                        for uu in list(set(unitNbrs[addU]).difference(trySet) ): \n",
    "                            if uu not in addCandidates and unitPop[uu] + HDuuuCpop < maxExchangePop and unitUse[uu] < 1.01:\n",
    "                                addCandidates.append(uu)\n",
    "                                addUseDists.append( (unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnAdding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            addSet = HDuuuSet.copy()  #we're done building the list of underused units to add to this HD\n",
    "            trySet = set(HDunitList[t]).union(addSet) \n",
    "            excess = np.sum([unitPop[u] for u in trySet]) - aDP\n",
    "            shedCandidates, shedScores, giveUpOnShedding = list(), list(), False\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if unitPop[u] <= excess + maxGap:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward OVERUSED, far\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            shedSet = set()\n",
    "            while excess > maxGap and not giveUpOnShedding:\n",
    "                #print(\"excess pop is now\",excess,\"for HD\",t)\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    if excess - unitPop[shedU] >= -1*maxGap:\n",
    "                        contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                        if contig and cContig:\n",
    "                            notYetPicked = False\n",
    "                            excess -= unitPop[shedU]\n",
    "                            trySet.remove(shedU)\n",
    "                            shedSet.add(shedU)\n",
    "                            del shedScores[shedCandidates.index(shedU)]\n",
    "                            del shedCandidates[shedCandidates.index(shedU)]\n",
    "                            newSheddables = set(unitNbrs[shedU]).intersection(trySet)\n",
    "                            for u in newSheddables:\n",
    "                                if excess - unitPop[u] >= -1*maxGap and u not in shedCandidates:\n",
    "                                    shedCandidates.append(u)  #we'll check enclavity if ever picked\n",
    "                                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                            for kkk, u in enumerate(shedCandidates): #checking if this shed eliminates high-pop future sheds ...\n",
    "                                if excess - unitPop[u] < -1*maxGap:\n",
    "                                    del shedScores[kkk]\n",
    "                                    del shedCandidates[kkk]\n",
    "                    ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all shedcandidates would create a discontig, so can't shed enough units to square pop\n",
    "            legitSwap = False\n",
    "            if abs(excess) <= 2.*maxGap:  #giving ourselves a bit more margin after exchanges\n",
    "                contig,cContig, __, ___ = enclaveCheck(list(trySet), unitNbrs) \n",
    "                if contig and cContig:\n",
    "                    legitSwap = True\n",
    "            if legitSwap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t] = np.sum([ unitPop[u] for u in HDunitList[t] ])\n",
    "                nPatchSuccess +=1\n",
    "                #print(\"we added\",addSet,\"and shed units\",shedSet,\"from HD\",t)\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "        else:  #adding neither the UUU cluster or just the UUU worked; couldn't even start\n",
    "            nCouldntStart +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "\n",
    "    print(\"all done trying to increase usage of unit\",UUU,\"final usage =\",r5(unitUse[UUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e2377b41-61df-4f0d-9d87-a0557362328d",
   "metadata": {},
   "outputs": [],
   "source": [
    ".99959 0.09151  8:44 0.08996"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "id": "861f29d3-b727-49af-90a8-aa9a963e0741",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00131 1.00128 and their SDs are 0.09076 0.04964\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 2666\n",
      "working on HD 300 out of 2666\n",
      "working on HD 600 out of 2666\n",
      "working on HD 900 out of 2666\n",
      "working on HD 1200 out of 2666\n",
      "working on HD 1500 out of 2666\n",
      "working on HD 1800 out of 2666\n",
      "working on HD 2100 out of 2666\n",
      "all done checking HD and complement contiguity for all 2666 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "for t in popHDlist:\n",
    "    if t%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "1ee72cf0-618e-411f-aa37-518ac2c679ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "#optional intermediate save\n",
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"underPatched.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "id": "77c07848-50c2-4fe9-8841-768b02bf4ac4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "default use threshold for moving on to next overused unit is 1.08\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated stopMaxUse value 1.03\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 511 units out of 2284 with usage above 1.03\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.03\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this block reduces overuse, with exchanges up to 22369\n",
      "current avg and SD of unit usage are 1.00128 0.04964 . Now trying to reduce up to 511 units' overusage\n",
      "starting to reduce usage for unit 1388 with usage 1.1662 . Total units tried = 1\n",
      "try to drop unit 1388 from 14 th HD.  usage down to 1.0997815936841904\n",
      "all done trying to reduce usage of unit 1388 final usage = 1.00594 1 sec elapsed 21 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00122 0.04881\n",
      "starting to reduce usage for unit 1792 with usage 1.13775 . Total units tried = 2\n",
      "try to drop unit 1792 from 14 th HD.  usage down to 1.0343229378420018\n",
      "all done trying to reduce usage of unit 1792 final usage = 1.02156 2 sec elapsed 14 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00119 0.04775\n",
      "starting to reduce usage for unit 1169 with usage 1.11097 . Total units tried = 3\n",
      "try to drop unit 1169 from 15 th HD.  usage down to 1.0482812998245425\n",
      "all done trying to reduce usage of unit 1169 final usage = 1.0121 3 sec elapsed 18 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00119 0.047\n",
      "starting to reduce usage for unit 1791 with usage 1.12652 . Total units tried = 4\n",
      "all done trying to reduce usage of unit 1791 final usage = 1.02755 4 sec elapsed 11 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00117 0.04621\n",
      "starting to reduce usage for unit 1795 with usage 1.11697 . Total units tried = 5\n",
      "try to drop unit 1795 from 11 th HD.  usage down to 1.0534446062842426\n",
      "all done trying to reduce usage of unit 1795 final usage = 1.02388 4 sec elapsed 13 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00116 0.04589\n",
      "starting to reduce usage for unit 629 with usage 1.10256 . Total units tried = 6\n",
      "try to drop unit 629 from 9 th HD.  usage down to 1.0593589391380196\n",
      "all done trying to reduce usage of unit 629 final usage = 1.02946 5 sec elapsed 17 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00114 0.04545\n",
      "starting to reduce usage for unit 1790 with usage 1.10451 . Total units tried = 7\n",
      "all done trying to reduce usage of unit 1790 final usage = 1.02824 6 sec elapsed 10 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00112 0.04508\n",
      "starting to reduce usage for unit 404 with usage 1.09299 . Total units tried = 8\n",
      "all done trying to reduce usage of unit 404 final usage = 1.0287 7 sec elapsed 16 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00111 0.04477\n",
      "starting to reduce usage for unit 1392 with usage 1.09296 . Total units tried = 9\n",
      "all done trying to reduce usage of unit 1392 final usage = 1.02937 8 sec elapsed 9 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00111 0.04437\n",
      "starting to reduce usage for unit 639 with usage 1.08665 . Total units tried = 10\n",
      "all done trying to reduce usage of unit 639 final usage = 1.02424 8 sec elapsed 10 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00109 0.04405\n",
      "starting to reduce usage for unit 1520 with usage 1.08618 . Total units tried = 11\n",
      "all done trying to reduce usage of unit 1520 final usage = 1.02868 9 sec elapsed 10 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00108 0.04365\n",
      "starting to reduce usage for unit 1087 with usage 1.10182 . Total units tried = 12\n",
      "try to drop unit 1087 from 9 th HD.  usage down to 1.0534888631968273\n",
      "all done trying to reduce usage of unit 1087 final usage = 1.02697 9 sec elapsed 12 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00108 0.04326\n",
      "starting to reduce usage for unit 710 with usage 1.0781 . Total units tried = 13\n",
      "all done trying to reduce usage of unit 710 final usage = 1.02602 10 sec elapsed 8 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00107 0.04308\n",
      "starting to reduce usage for unit 1568 with usage 1.1055 . Total units tried = 14\n",
      "try to drop unit 1568 from 12 th HD.  usage down to 1.0521142166717798\n",
      "all done trying to reduce usage of unit 1568 final usage = 1.02404 14 sec elapsed 13 0 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00106 0.04145\n",
      "starting to reduce usage for unit 981 with usage 1.08969 . Total units tried = 15\n",
      "try to drop unit 981 from 8 th HD.  usage down to 1.0481914448809733\n",
      "all done trying to reduce usage of unit 981 final usage = 1.0266 14 sec elapsed 10 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00105 0.04119\n",
      "starting to reduce usage for unit 1125 with usage 1.07454 . Total units tried = 16\n",
      "all done trying to reduce usage of unit 1125 final usage = 1.02545 15 sec elapsed 8 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00103 0.04086\n",
      "starting to reduce usage for unit 663 with usage 1.07353 . Total units tried = 17\n",
      "try to drop unit 663 from 8 th HD.  usage down to 1.0458136416722557\n",
      "all done trying to reduce usage of unit 663 final usage = 1.02926 15 sec elapsed 10 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00103 0.04067\n",
      "starting to reduce usage for unit 693 with usage 1.07338 . Total units tried = 18\n",
      "all done trying to reduce usage of unit 693 final usage = 1.02992 17 sec elapsed 11 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00102 0.04052\n",
      "starting to reduce usage for unit 86 with usage 1.07171 . Total units tried = 19\n",
      "all done trying to reduce usage of unit 86 final usage = 1.02429 17 sec elapsed 9 2 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00101 0.04023\n",
      "starting to reduce usage for unit 1167 with usage 1.07935 . Total units tried = 20\n",
      "all done trying to reduce usage of unit 1167 final usage = 1.01807 17 sec elapsed 7 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00101 0.04\n",
      "starting to reduce usage for unit 451 with usage 1.067 . Total units tried = 21\n",
      "all done trying to reduce usage of unit 451 final usage = 1.02398 18 sec elapsed 7 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.001 0.03981\n"
     ]
    }
   ],
   "source": [
    "#SECOND PATCHING BLOCK -- OVERUSERS.  applies a suppression of LONG STRINGS.  run second for most states except MA\n",
    "maxSD = 0.04 #0.06  #0.08\n",
    "stopMaxUse = 1.+  2.* maxSD  #0.5*maxSD  #don't be too aggressive; may create long chains\n",
    "print(\"default use threshold for moving on to next overused unit is\",r5(stopMaxUse) )\n",
    "stopMaxUse = float(input(\"enter updated stopMaxUse value\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage above\",stopMaxUse)\n",
    "nBigUsers = 5\n",
    "maxExchangePop = 0.05*aDP\n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP \n",
    "print(\"this block reduces overuse, with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        maxNtries +=1\n",
    "#maxNtries = int(currSD * nUnits / nDistricts)   #try up to about 10% of the districts a unit is drawn into\n",
    "#maxNtries = 10 #overrirde\n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "attemptedBigUs = list()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to reduce up to\",maxNtries,\"units' overusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedBigUs) < maxNtries: \n",
    "    #each round, find the (5) most overused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nBigFound, bigUsers = 0,0,list()\n",
    "    while nBigFound < nBigUsers:\n",
    "        consideredBigU = idx[-idxNo-1]\n",
    "        if consideredBigU not in attemptedBigUs:\n",
    "            bigUsers.append(consideredBigU)\n",
    "            nBigFound +=1\n",
    "        idxNo +=1\n",
    "    OUUclusters = [ [b] + unitNbrs[b] for b in bigUsers ]\n",
    "    bigOverUse = [np.sum([(unitUse[j] - 1.) for j in OUUclusters[i] ]) for i in range(nBigUsers) ]\n",
    "    bigI = bigOverUse.index(np.max(bigOverUse))\n",
    "    OUU = bigUsers[ bigI ]  #pick the unit that centers cluster with most overuse\n",
    "    attemptedBigUs.append(OUU)  #so we don't try this unit again in a future loop\n",
    "    OUUc = OUUclusters[bigI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    print(\"starting to reduce usage for unit\",OUU,\"with usage\",r5(unitUse[OUU]),\". Total units tried =\",len(attemptedBigUs) )\n",
    "    for u in OUUc.copy():\n",
    "        if unitUse[u] < 1.:\n",
    "            OUUc.remove(u)  #...drop any underused neighbors of the primary OUU from the target sheddable cluster\n",
    "    OUU2nbrSet = set( unitNbrs[OUU])\n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.union(set(unitNbrs[u])) \n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.difference({u})\n",
    "    ouuHDs, ouuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if OUU in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(OUU2nbrSet) ) > 0: #the OUU or one of its overused 1-neighbors adjoins the complement\n",
    "                ouuHDs.append(t)  #so we can shed the OOUc to the complement\n",
    "                ouuDists.append( unitCP[OUU].distance(hdCP[t]) / avgDist[t] )\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo, idx0 = 0, 0, 0, 0, np.argsort(ouuDists)\n",
    "    while unitUse[OUU] > stopMaxUse and idxNo > -0.5*len(ouuHDs): #arbitrarily only examine 50% of HDs, biasing farthest ones\n",
    "        idxNo -=1\n",
    "        if idxNo % int(0.1*len(ouuHDs)) == 0:\n",
    "            print(\"try to drop unit\",OUU,\"from\",abs(idxNo),\"th HD.  usage down to\",unitUse[OUU] )\n",
    "        t = ouuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).difference(set(OUUc))\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        if not (contig and complementContig):  #dropping the cluster creates a problem (likely an HD discontig).  Try something simpler ...\n",
    "            if len(set(unitNbrs[OUU]).intersection(HDadjoinSet) )  > 0:  #Yay! The OUU itself on border.  Try dropping just it, not the full cluster\n",
    "                HDouuSet = {OUU}\n",
    "                trySet = set(HDunitList[t]).difference( {OUU} )\n",
    "                contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        else:\n",
    "            HDouuSet = set(HDunitList[t]).intersection(set(OUUc))\n",
    "        if contig and complementContig:  #we can at least drop the cluster, let's go for more\n",
    "            #HDouuSet = set(HDunitList[t]).intersection(set(OUUc))  #the subset of the OUU cluster that's in this HD.  Defined above\n",
    "            HDouuCpop = np.sum([unitPop[u] for u in HDouuSet])\n",
    "            giveUpOnShedding = False            \n",
    "            shedCandidates, shedScores = list(), list()\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if HDouuCpop + unitPop[u] <= maxExchangePop:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward far, overused\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            while HDouuCpop < maxExchangePop and not giveUpOnShedding:\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                    if contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDouuCpop += unitPop[shedU]\n",
    "                        #print(\"shedding unit\",shedU,\"from HD\",t,\"total shed Pop now\", HDouuCpop)\n",
    "                        HDouuSet.add(shedU)\n",
    "                        trySet.remove(shedU)\n",
    "                        del shedScores[shedCandidates.index(shedU)]\n",
    "                        del shedCandidates[shedCandidates.index(shedU)]\n",
    "                        newSheddables = set(unitNbrs[shedU]).intersection(trySet)\n",
    "                        for u in newSheddables:\n",
    "                            if HDouuCpop + unitPop[u] <= maxExchangePop and u not in shedCandidates:\n",
    "                                shedCandidates.append(u)\n",
    "                                shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            shedSet = HDouuSet.copy()  #set(OUUc).intersection(set(HDunitList[t]))\n",
    "            trySet = set(HDunitList[t]).difference(shedSet) \n",
    "            gap = aDP - np.sum([unitPop[u] for u in trySet])\n",
    "            nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "            for u in trySet:\n",
    "                for uu in unitNbrs[u]:\n",
    "                    if uu not in HDunitList[t] and uu not in nearHDlist and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:\n",
    "                        nearHDlist.append(uu)\n",
    "                        nearHDscore.append(5.*(unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                        #bias toward UNDERUSED, close\n",
    "            addedSet = set( )    \n",
    "            stillGoing = True \n",
    "            while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "                nearHDscore2 = nearHDscore.copy()\n",
    "                for ij, uu in enumerate(nearHDlist):\n",
    "                    nHDnbrs = len( set(unitNbrs[uu]).intersection(trySet) )\n",
    "                    if nHDnbrs == 1 :  #BIAS AGAINST CREATING A SLIM CHAIN\n",
    "                        nearHDscore2[ij] *= 0.5   #make this score closer to zero (less negative)  #NEW FOR GA 3/11/24\n",
    "                idx, ij, notYetPicked = np.argsort(nearHDscore2), 0, True   #originally, used nearHDscore itself here\n",
    "                while ij < len(nearHDscore) and notYetPicked:        \n",
    "                    listNo = idx[ij]   #nearHDscore.index(np.min(nearHDscore))\n",
    "                    unitNoToAdd = nearHDlist[listNo]  #add this unit ...                            \n",
    "                    canAdd  = wontEnclave(unitNoToAdd, list(trySet), unitNbrs, borderUnits)\n",
    "                    if canAdd:\n",
    "                        notYetPicked = False\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    stillGoing = False  #can't add any more units; we can't without creating an enclave\n",
    "                else:\n",
    "                    gap -= unitPop[unitNoToAdd]\n",
    "                    addedSet.add(unitNoToAdd)\n",
    "                    trySet.add( unitNoToAdd)\n",
    "                    for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                        if uu not in trySet and uu not in nearHDlist and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:  \n",
    "                            nearHDlist.append(uu)\n",
    "                            nearHDscore.append(5.* (unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] ) \n",
    "                            #bias toward UNDERUSED, ~close\n",
    "                    del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "                    del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "                    for ijj, uu in enumerate(nearHDlist.copy()):\n",
    "                        if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                            del nearHDscore[nearHDlist.index(uu)]\n",
    "                            del nearHDlist[ nearHDlist.index(uu)]\n",
    "            currPop = np.sum([unitPop[u] for u in trySet])\n",
    "            if abs(currPop - aDP) <= 2.* maxGap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addedSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t]    = currPop\n",
    "                nPatchSuccess +=1\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "        else:\n",
    "            nCouldntStart +=1\n",
    "            #print(\"Due to discontiguity, can't drop OUU cluster for HD, OUU\", t, OUU)\n",
    "    print(\"all done trying to reduce usage of unit\",OUU,\"final usage =\",r5(unitUse[OUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )\n",
    "            \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "92f90621-e7fc-4891-a5cd-69033c3c48e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#copy one of two above blocks and run again if needed (n/a for NC)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "id": "cb60da52-ca13-45dd-8bf0-475213183a0d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "overused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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+ekdxGu3b9SM7+wgVFRV6R2lQUrDUQ2lZhkxcKIQQOlNK8cUXX+Dl5UXv3r31juM0OnTogM1mb3GXhaRgqYf8vN14ecp/DiGE0NPp06c5c+YMkyZNwtXVVe84TiM4OBgXiwvHjrWsgfSkYKkjpWyAJp1thRBCZ9nZ2QCEh4frnMS5GAwGAvz7cObMNr2jNCgpWOooJ2cHPj4D9I4hhBCtXuXdmsj4KzVo164POTnJLWoiRPlXrqMKWz4mk6feMYQQotUrKirCbDZjMpn0juJ0IiIisNsVp06d0jtKg5GCpQ5KSlJwtYToHUMIIQRQUFCAh4eH3jGcUmBgIBZXK8nJSXpHaTBSsNRBfsF+PD176B1DCCEEUFxcjNVq1TuGU9I0jcCAfpw5u1XvKA1GCpZastsr0OR0CSGE07Db7dJ/5RLat+9Jbs4pSkpK9I7SIORfupZycrbh4zNQ7xhCCCHOU0qmR7mUiIgIlIKTJ0/qHaVBSMFSSzZ7MSaTu94xRAPYuHEjkyZNIiwsDE3TWL58+WW3iY+Pp1+/flgsFiIjI3n33XervN6hQwc0Tav2+P3vf984ByGEwGKxtJjWg8bg5+eH1erB0aMH9Y7SIKRgqYXS0jQsLoF6xxANpLCwkD59+vDGG2/Uav3k5GQmTJjAiBEjSExMZNasWUyfPp24uDjHOtu3byclJcXxWLNmDQC33HJLoxyDEKJyor+cnBzsdrveUZySpmm0aXMtp05tcNwC3pzJvWC1kJ+/D3//4XrHEA0kNjaW2NjYWq+/ePFiIiIimD9/PgBRUVFs2rSJBQsWMG7cOKCyR/4vvfTSS3Tq1Ilhw4Y1XHAhRBXt2rWjvLyc48eP07FjR73jOKWoqD4kHV1JSkoKYWFhese5ItLCchlK2QG5Ttqabd68mdGjR1dZNm7cODZv3lzj+mVlZXzwwQdMmzZNfm6EaERt2rTBx8eHffv26R3FabVv3x4XsysHDuzVO8oVk4LlsjTQ5DS1ZqmpqQQHB1dZFhwcTF5eHsXFxdXWX758OTk5Odx9991NlFCI1knTNHr06MH+/fux2Wx6x3FKRqOR0NChJB//rtlfFpJv4svQNA2a+T+yaFrvvPMOsbGxzb75VYjmoGfPnhQXF5OcnKx3FKfVo8cAigozOHfunN5RrogULLUhzfqtmltAIF8fPsaZkp/n5Dh37hxeXl7VBq06ceIEa9euZfr06U0dU4hWKSQkBC8vL44dO6Z3FKcVERGB2Wxh3/49eke5IlKwCHEZJV17sG1DPP037+fmXUmU2OysWbOGmJiYausuXbqUoKAgJkyYoENSIVofTdNwdXWVS0KXYDKZCA29muPJ65r1ZSEpWGpDqfOdb0VLUFBQQGJiIomJiUDlbcuJiYmcPHmSjRs3EhkZiZubm2OMllF33o095QwVb7/Glr37eGvxIj777DNmz54N/DxGi4uLCy+88AL9+vWrNhnbmTNnuPPOO/H398dqtdKrVy8SEhKa+tCFaJE0TZNbmy+jR48BFDbzy0JSsNSCt3c/cnLky6WlSEhIIDo6mujoaADmzJlDdHQ0Tz75JIWFhbi7uztukSyosJHsE4D3vNcoTNhM6r238uo//sGSJUsYN25clTFa/vWvf1FRUcHq1aurjNGSnZ3N0KFDMZvNrFq1iv379zN//nx8fX11OX4hWhoXFxdKS0v1juHUIiIiMJkt7Nu3W+8o9SbjsNSC2exNeUW23jFEAxk+fPglm0UvjNGiaRoPHziJq38npowfyyd9B7CgWzi3h/o71v31GC3Tp0/ntttuqzJGy8svv0x4eDhLly51bBcREdEYhyZEqxQSEsLhw4dlbqFLMJlMhIVeTXLyOpQa0yyHXJB/2VqyurYjPX0tubk79Y4imlBXNwsAn6RmAdDNvWon29qM0bJixQoGDBjALbfcQlBQENHR0bz99tuNnFyI1qNnz57k5uZy6tQpvaM4tR49BlBUlNlsLwtJwVJLnp5RBAaOxmTyJr+gZczLIC5vbqcwlkdH0sZiJsxiprdn1YKlNmO0HDt2jEWLFtG5c2fi4uJ48MEHmTlzJu+9916THYcQLVl4eDje3t7s2rVL7yhOrWPHjs36spAULHVUXHwSD/fOescQTWiwjwfbYrqzaVAUxno0o9rtdvr168e8efOIjo7mvvvuY8aMGSxevLgR0grR+hgMBgYOHMiePXvIz8/XO47TMhqNtAm75vxloeZ3t1CdCpZFixbRu3dvvLy88PLyIiYmhlWrVlVZZ/PmzYwcORJ3d3e8vLy49tpraxwN9JfeeOMNOnTogKurK4MGDWLbtm11P5Imo9A0o94hRBMzahpuxur/XUJCQqo1r/56jJbQ0FC6d+9eZZ2oqKgWM+W7EM6gf//+mEwm4uLirvjL2G63s2PHDj7//HM2btxIYWFhA6XUX/fu/SkqyiQ1NVXvKHVWp4Klbdu2vPTSS+zYsYOEhARGjhzJ5MmTHfM4bN68mfHjxzN27Fi2bdvG9u3befjhhy/ZCerTTz9lzpw5PPXUU+zcuZM+ffowbtw40tLSruzIGkFFRSEVFVK9i5/FxMSwbt26Kst+PUbL0KFDOXToUJV1Dh8+TPv27ZskoxCtgaurK5MmTWLv3r0XneerNmw2G1988QVfffUVubm5bNy4kb///e/s37+/AdPq58Jlof3NcRA5dYV8fX3VkiVLlFJKDRo0SD3xxBN12n7gwIHq97//veO5zWZTYWFh6sUXX6z1PnJzcxWgcnNz6/TedZWW9q0qL89r1PcQ+srPz1e7du1Su3btUoD6xz/+oXbt2qVOnDihlFLqscceU3fddZdj/WPHjimr1U3dPulelbhjt3rjjTeU0WhUq1evdqyzbds2ZTKZ1AsvvKCOHDmiPvzwQ+Xm5qY++OCDJj8+IVq6b7/9Vj399NPq6NGjdd7WbrerZcuWqWeeeUbt379fKaVUQUGBeuqpp9T69esbOKl+li//WL399iPKbrfrHaVO39/17sNis9n45JNPKCwsJCYmhrS0NLZu3UpQUBBDhgwhODiYYcOGsWnTpovuo6ysjB07dlS5y8JgMDB69OhLVsilpaXk5eVVeTQFd/dITp/+gOzsLU3yfqLpXWqMFoCUlJQql3JCA9syY/RzfP/jBgYOHsD8+fMdY7RccNVVV7Fs2TI+/vhjevbsyXPPPcfChQu54447mvbghGgFRo0aRceOHfn888/Jzq79cBR2u521a9eSmJjI9ddfT1RUFADu7u54eno2Vlxd9OgxgMJmeFmozuOw7Nmzh5iYGEpKSvDw8GDZsmV0796dLVsqv8Sffvpp/v73v9O3b1/ef/99Ro0axd69e+ncuXpH1YyMDGw2W413WRw8ePE7cV588UWeeeaZuka/Ym5uEQQGjkXTZPialupyY7S8++67VZ6veC2RLmF9eezmN7npkf6EdPSucbuJEycyceLEhowqhKiBwWDgpptu4q233uLTTz9l2rRpuLi4XHR9pRTHjh1jzZo1pKamMnbsWHr37t2EiZteREQELmZX9u3bTWhoqN5xaq3OLSxdu3YlMTGRrVu38uCDDzJ16lT279/vGBb5/vvv55577iE6OpoFCxbQtWtX/v3vfzdo6Llz55Kbm+t4NOW998XFJ3B1lVl4RaWbHxtAv3Ht6DooBN8QN73jCCEANzc3brvtNjIyMlixYkWNw/YXFxezc+dO3nrrLf7zn/9gNBq59957GTJkSI37vNQvMs2N0WgkrBneLVTnpgIXFxciIyOByl7Z27dv59VXX+Wxxx4DqNPdEAEBARiNxhrvsggJCbloBovFgsViqWv0BmEwWLDbSzEYzLq8v3AuBoNGzA2RescQQvxKSEgIN9xwA1988QW5ubm0b98eTdPIzc0lNTWVjIwM7HY7nTp14q677qJjx44XHf21OY4Kezk9evTn+Ik1pKSkEBbWPH4Jv+JrG3a7ndLSUjp06EBYWFiNd0NcGOr811xcXOjfvz/r1q3j+uuvd+xv3bp1PPzww1carVEYje4oVaF3DCGEEJfRo0cPXF1d+eGHH9izp/KuGA8PD8LDw7nqqqvo2rUrXl5eOqfUR+VlIQsHDu5vmQXL3LlziY2NpV27duTn5/PRRx8RHx9PXFwcmqbx5z//maeeeoo+ffrQt29f3nvvPQ4ePMgXX3zh2MeoUaO44YYbHAXJnDlzmDp1KgMGDGDgwIEsXLiQwsJC7rnnnoY90gbi6hpKVvaPBAaMwWYrwmyuuc+CEEII/XXq1IlOnTrpHcPpGI1GQkIGc+J4PDD6cqs7hToVLGlpaUyZMoWUlBS8vb3p3bs3cXFxjBkzBoBZs2ZRUlLC7NmzycrKok+fPqxZs6bKD8vRo0fJyMhwPP/tb39Leno6Tz75JKmpqfTt25fVq1dX64jrLCyWYHy8r+LMmQ9BMxDedorekYQQQjQSu91OeXm53jEaRZcu/Vi7bgNZWVn4+fnpHeeyNNWcetxcRF5eHt7e3uTm5jZJ855SNjIzN2A0euDp2QOTyb3R31MIIUTTS05O5r333uOee+5pcYM9lpaW8vbbf6Bfv7sv2tm4sdXl+1vmEqoHTTMSEDASL69e5Obu0DuOEEKIRpKeno7BYKBt27Z6R2lwFouFgIDeHDt28fHSnIkULFfAaLSiqH67nBBCiJbh+PHjBAUFYTRWn0Nu48aNTJo0ibCwMDRNY/ny5ZfdX3x8PP369cNisRAZGVltbCeAM2fOcOedd+Lv74/VaqVXr14kJCQ0wNFUFxk5mKysI81iviQpWK6UUthsJXqnEEIXLeEDW4iLycvL48CBA46Rr3+tsLCQPn368MYbb9Rqf8nJyUyYMIERI0aQmJjIrFmzmD59OnFxcY51srOzGTp0KGazmVWrVrF//37mz5+Pr69vgxzTr3Xt2hWF4siRI42y/4YkQ7ZeIX//a8nM3EhAwAi9owjR5C58YE+bNo0bb7zxsutf+MB+4IEH+PDDD1m3bh3Tp08nNDTUMZ3BhQ/sESNGsGrVKgIDAzly5EijfWALcTHZ2dkopS7adyU2Nvaiw3bUZPHixURERDB//nygcpyyTZs2sWDBAsfP/8svv0x4eDhLly51bBcREXEFR3Fpnp6e+Pp04PDhbfTt27fR3qchSMFyhTStejOhEK1FS/jAFuJigoKCgMo7ZC81mGltbd68ucrceQDjxo1j1qxZjucrVqxg3Lhx3HLLLWzYsIE2bdrw0EMPMWPGjCt+/4vp0OFa9uz5iPLycsxm5x0UVS4JNQAZSE6I2rnYB/YvJztdsWIFAwYM4JZbbiEoKIjo6Gjefvvtpo4qBFarFQ8PjypDcVyJ1NTUGufOy8vLo7i4GIBjx46xaNEiOnfuTFxcHA8++CAzZ87kvffea5AMNYmKiqLCVsGxY8ca7T0aghQsDcBguPjEWkKInznrB7YQFxMQEEBKSkqTvZ/dbqdfv37MmzeP6Oho7rvvPmbMmMHixYsb7T0DAwPxcPfn4MHERnuPhiAFSwNQSu4UEqKh6PGBLcTF9OrViyNHjlSb864+QkJCapw7z8vLC6vVCkBoaGid5uRrKOHhwzmb8kONE0U6CylYhBBNJiQ4hOQ1e0l5aRulJ/MA5/nAFqImffv2xdXVlX379l3xvmJiYli3bl2VZWvWrCEmJsbxfOjQoTXOydfYg9Z169aDsrIiTp8+3ajvcyWkYLlCxcVncHVtHhNHCaG3Qf0HsnHPZmw5pdiyK4cDcJYPbCFqYjQaCQoKIjU1tdprBQUFJCYmkpiYCFTeBZeYmOgorufOncuUKT9P3/LAAw9w7NgxHnnkEQ4ePMi//vUvPvvsM2bPnu1YZ/bs2WzZsoV58+aRlJTERx99xFtvvcXvf//7Rj3Otm3bYnFx4+DBKy/MGo1qAXJzcxWgcnNzm/y98/L2qpKStCZ/XyGcQX5+vtq1a5fatWuXAtQ//vEPtWvXLnXixAmllFKPPfaYuuuuuxzrH9yyV1nNruqBgberhA/j1axZsxSg/Pz8FKCWLVumtm3bpkwmk3rhhRfUkSNH1Icffqjc3NzUBx98oJRSav369So6Olq5uLioTp06qaVLl1bJ1L59ewVUezz00ENNdl5Ey5Gbm6uefvpptX379mqvrV+/vsaftalTpyqllJo6daoaNmxYtW369u2rXFxcVMeOHav9/Cql1FdffaV69uypLBaL6tatm3rrrbca4ciqW778E7VkyaNN8l4X1OX7WwqWK5Sa+rWy2+1N/r5COIO6fmAX7c9Qn93+quoR1Fm5GM0qJCRETZw4Uf3vf/9zFCxKXfwD+9ixY8rNzU3NmTNH7d+/X73++uvKaDSq1atXO94jLS1NpaSkOB5r1qxRgFq/fn0TnRXRkmzcuFE999xzqri4WO8ojW7//v1q4cLpKjMzs8nesy7f3zL54RU4l7YKH5+rsLgENNl7CtGcpbyyHVtm5aUgc6g7wf/Xz/GapmksW7aM66+//qLbP/roo6xcuZK9e/c6lt12223k5OSwevXqGreZNWsWX3/9NUeOHEHTtIY5ENEqKKV4/fXXadu2ba0GRmzuSkpKePvtmQwaNJ2BAwc2yXvK5IdNoKDgEJ4e3aRYEaIOLB28HX/3mdypztvXZhyXXyorK+ODDz5g2rRpUqyIOjt58iRZWVkXHZq/pXF1dcXXL5Jjx7bpHaVGMtJtHRUXnyK/YD9GgxV//2v1jiNEs+J3Sxd8b4zEXlSB0bPu4xddbhyXC3caXbB8+XJycnK4++67ryS2aKUSExPx8fFpVR2+27eL4aefPnDKUW+lhaWOCgoOEhQ4TooV0Wo09ASHmtGA0dOl2gSHAElJSQ2a/Z133iE2NpawMLmTT9RNaWkpe/fuJTo6GoOh9XxVVg4pYGPj99/pHaWa1vOv0IBstiK9IwjRZK5oRto1nzLr9/dXzkj7xXtgKwdqnpEWwN3d/ZL7Dg4OvOzAWxecOHGCtWvXMn369NoeqhAO+/fvp7y8nD59+ugdpUn5+/vTvftvObD/vxQUFOgdpwopWOooIGAU6elraQF9lYWoldjYWJ5//nluuOGGWq2/+Nn/I8Lfwvzue4n6bioP297m5t6eLHjsXoj7C1B1gsOBAwc6JjcMDQ296H4LC4/Sps0+Vq78DyWlP4+J8etxXC5YunQpQUFBTJgwoS6HKwQAu3btomPHjvj4+OgdpckNHBiDzaacbm4hKVjqSNMM+PtfS2bWBr2jCOF87HY2r1/N6I4mcA+AcS9CwTnGhZew+bQNXCs73V6Y4PCGG27Az8+Pbt26AZcfeGviJC9On87m7qk92bz5vRoH3qqMYWfp0qVMnToVk0m66om6S0lJITIyUu8YuvDw8MBqdePcuaabQ6k2pGCpB7PZB1dLKPn5B/SOIoRzyT1Far6N4P4T4bYPIeYhuHctwb95krxSKPbsAPw8waGbmxvZ2dmOkW3nzJlDdHQ0Tz75JFD5pXGheHF1DSU01Mybb95Jwo58hg2bxvz581myZAnjxo2rEmPt2rWcPHmSadOmNd2xixbFbre36mI3MGggx49/51RzC0nBUk8eHl0pKTkll4aE+KWcE5V/uvn9vCz8KjC5Vv49oAvw8wSHH374IapyAEv+8Ic/MHjwYJRSjk667777LvHx8QDs3vMQAG3a/sCbb7YlPWMnR48erfEOoLFjx6KUokuXLo1xlKIVsNvtraqz7a/1i76a4uJMTp06pXcUh9b7r9EAvLz6UFCwX+8YQjiP8mJCPDTOZeZWWXwueR9eFrC27QnUb4LDvn2WVnnu4d6tgUILUZXdbkcp1aoLlvDwcCwWT/bv/0nvKA6tt73rChUVncDVNZSCgkOXX1mI1qK8mJi2Rr7Z+EOVxWviNxHT0QvMlXfy1GeCQ03TGDXyKAUFh1DKhtFoafj8QoDjMkhrLlgMBgPh4cM4eXI9dvtEpzgX+idohvLzD1Baeo7U1BV4e7eOERBF63XJGWnzzjJ3+g1MGdUDvpoFa5/mgQEuHEs+UXVG2u8PMfvmqx37vJIZaT08uuLp2f2y6wlRX1KwVOrSpSclJQVkZWXpHQWQFpZ6KSk9S2DAKHx9m2auBSH0lJCQwIgRIxzP58yZA8DUPmbevd5KSkIxJwstcCYBspOJ6NqTlV/PY/acObz66qu0bduGJb9xZ9zE6x37uOqqq1i2bBlz587l2WefJSIigoULF3LHHXc09eEJUc2FgsVoNOqcRF8hISFA5QjTAQH6T0MjBUs92G0lekcQoskMHz685s7lT1feovzuyi3Qpl/VbagcxwKA0ztgychq60ycOJGJEyc2QmIhroy0sFT65e3NPXv21DuOXBKqD5PJk4qKfL1jCKGvx8+CxQt++vjS653ZAQYzBOv/gSdEbUjB8jMvr06kpzvHEB7SwlIPfn7XkJGxhsDAsXpHEUI/Lu5w9Sz47nkY8ThYfcFWAeWFjgHiADi7E0J6gUk6yYqms2fPHo4ePYqrqysGg6Haw2g04uHhUeVhtVoxGAxSsPxCYGAUR49+rXcMQAqWOsvP30dJaSouLkF6RxFCfz1vhnXPwonNlQXMF9OgKKNy+cR/VBYuZ3ZAxDC9k4pWZvfu3Rw5cgRfX19HEfLLR3l5OWVlZVW2MRgMuLu7S8HyC8HBoezdW0RhYeFl5/pqbFKw1EFRUTJK2QgMGKV3FCGcg087MLvDiR9g+xIIHwRdxkP8i/BSOzZax/PKvxPZkZVESsZ8li1bxvXXX3/JXcbHxzNnzhz27dtHeHg4TzzxRLXB4c6cOcOjjz7KqlWrKCoqIjIykqVLlzJgwIDGO1bRrIwdO5YjR45w9dVX079//xrXKS8vp6CgoMojPz+f/Px8ysvLHZ1OW7Nfdrzt1KmTrlmkYKmD4uJT+Pldo3cMIZyHpoF3G9j8z8rn41+E4B7QfgisfZrCuK/oE2xg2tznuPGeP1x2dxdmen7ggQf48MMPWbduHdOnTyc0NNQx/P6FmZ5HjBjBqlWrCAwMdPwmLcQFgYGBdO/enfXr19O9e/dqs3kDmM1mfH195WfnEvz8/DAajaSlpelesEh7Vx0YDC7Y7cV6xxDCuXi3rfzTxaOyWAEI6wtTlhP7jwSef+V1bph6+fFVABYvXkxERATz588nKiqKhx9+mJtvvpkFCxY41nn55Zfx8vIiIyOD66+/no4dO1JUVHTZD9P4+Hj69euHxWIhMjLSMfz/L505c4Y777wTf39/rFYrvXr1IiEhoVbZhfMZP348ZWVlfPfdd3pHabYMBgNu7p5kZ2foHUUKlrrw9u5PdvZWvWMI4Vy8wir/vPZP1V8L7g6D7qtsiamFzZs3M3r06CrLxo0bx+bNmx3PV6xYQceOHUlKSqKwsBCAb7/99pL7vdByM2LECBITE5k1axbTp08nLi7Osc6Flhuz2cyqVavYv38/8+fPl9++mzEvLy8GDRrErl27ZN63K+BmbUt+/gm9Y8globowGMx6RxDC+fhGVP4ZPqjOm27cuJFXXnmFHTt2kJKSQmhoKLGxsVXWCQ4OJi8vj+LiYqxWK0lJSRw8eBBN0wgLCyMvL48lS5YwaNAgpk6dis1m4+mnn+aDDz4gNTWVsLAwwsLCHC03UDlv0aZNm1iwYIHjUtPLL79MeHg4S5f+PGdRREREPU+KcBZKKdzc3NBqWTSL6jw925OevkXvGNLCUleaJqdMiCqGzoL7NlT2W6mjwsJC+vTpwxtvvOFYdqnfhJOTkx2dIffu3cujjz4KQN++fVm8eDFQWXgsWrSIf/7znxw4cICXX36ZH3/8ET83b8pO/zx+Uk0tNwMGDOCWW24hKCiI6Oho3n777Tofk3AuWVlZ+Pn5XX5FcVG+vkEUFObq3kolLSx1UFFRCFrrHqpZiGqMpso+K/UQGxtbpUWloqKCnTt3Vlnn3LlzeHl5YbVaWbx4MWaTieuuu46oqCiioqL4wx/+QEpKiuNW1B9//JHJkyczYcIEADp06IDV4krmiTTS/plI4H29sHT0qdZyc+zYMRYtWsScOXN4/PHH2b59OzNnzsTFxYWpU6fW79wI3Xl4eJCSkoJSSlpZ6snHxwdbRQVFRUW63toszQW1lJW9mays7/HzjdE7ihAtlr+/P99//z1nzpxxLFuzZg0xMZX/7zau/w4fVwuJCdurbJeamuqY6XnIkCGsW7eOw4cPA/DTTz9RXFJC5/adMLiZKDmUXeN72+12+vXrx7x584iOjua+++5jxowZjpYb0TxFRkaSnZ3N6dOn9Y7SbHl7Vw4EmZubq2sOKVhqoaTkLEaDK0FB49GkhUWIWrvkTM/A3LlzmTJlCtnZlUVEp06dyM7O5tZbbyUhIaFypufPPmP27NkAnDpxkshgfxL37OWZJ58kKSkJqGyZmTFjBgCPPfYYt912G926dcNsNhMdHU2YZxBtu3YAkwFlq2zW/mXLDUBoaCjdu1edBToqKsqRVTRPkZGR+Pn58eOPP+odpdm60KpSVFSkaw4pWC5DKUVu7i68vaP1jiJEs5OQkEB0dDTR0ZX/f+bMmUN0dDRPPvkkACkpKZw8eRJPT0+gsvn+888/59ixYwwdOpT58+ezZMkSxo0bh1KK8tJifNys3H31ABa/tpAe3aMc73XbbbcB8Nlnn/Hhhx/y0UcfsXPnTpa8/C/SC7NY/t3XWLv5UbQ7HWVTVVpuAIYOHcqhQ4eq5D98+LCj5UY0TwaDgWuuuYYDBw7w2Wef6R2nWbpQsFy4K08v0oflMpQqo8JWgFI2aV0Roo4uOtPzeTWNhdKjRw/uv/9+pk2bRrt27RzLi/PzcDebCYzqzbwFC+j45KOUFZfwzEf/xWKxcOjQIfz8/Pjzn/9MVFQU33zzDbfddhudbMFs/nw97yR8znOrXuc3DOS//9jMZ599xsqVKx37nz17NkOGDGHevHnceuutbNu2jbfeeou33nqrQc+JaHp9+/blyy+/ZP/+/Rw6dIiuXbvqHalZMZvNmExmKVicncFgISR4MhmZ8TIkvxCNzGg0snbtWgBMpqofTzmpZ2nv78O2n35i/+Ej/OWdDx2vlZaWEh0dzdSpUykqKiI/P98xT4wqs+Nv9SEsLIzvtmzgjQOLadOmjaPl5oKrrrqKZcuWMXfuXJ599lkiIiJYuHAhd9xxRxMcuWhMmqbxf//3f7z66qt8/PHH+Pj4cOuttxIWFqZ3tGbD1dWVwsICXTPIJaFaMBpd0TCglF3vKEK0KL/u4+Lr60tiYiK5ublYrVZHHxeA7JSzxHRqz8lTp1n59dc8Mn4Yv40ZgNFoZPXq1SilePfdd5k0aRKnTp3iz3/+M8ePH+fLtV/zdsJn3HHHHWz7ZhNH/7SOA9//VG1+IoCJEyeyZ88eSkpKOHDggKNfjGj+fH19mTlzJpGRkeTk5PDf//6XiooKvWM1GyaTGyUlebpmkIKlliyWEIqKjusdQ4gW5dd9XN544w3efPNNzp49i6+vr6OPC0DOuRTahbdl5cqVrF23jn98+z1rd++v1lLy+uuvc/PNN/PQQw8RFRXF439/mrsG3cBzzz1HRUbl1BpGD5emP1ihOz8/PyZOnAhAZmYmzz//PFu3yujltaX3OGRSsNRSadk53N076h1DiCaxceNGJk2aRFhYGJqmsXz58stuc7m5ejp06ICmaVUeI0aM4KGHHkIpVeXx6aefApV9XOLj4wEwuVgoKy7m2muuYduWzbz5h+m8NuuBai0lnp6eLFy4kBMnTnDyta1suu9j/jRkGoVfnSDr08pOtRXZJVd6ikQz5ePjw+23347ZXDly+apVqxwtfOJS7FKwNBc2m763cwnRGC5WmNQ0Au0FNRUmybs2MGHsSEZY9pG4+gPuvvtupk2bhqenp2MSwbfffpuUlBTHY82aNQDccssttcrq5R9AeUkxFWWlrH/vbfIzMxh7/8xLbuNx7fmJGSsUhdtTK/czvgOWjt61PEOiJeratSt/+ctfuP3223F3d+fLL7+UcVouQ6F0v/FECpZa8vUZSHr6Wr1jCNGgLlaYxMbG8vzzz3PDDTdUWf7rSQT/MPP/mD59Oo/ePZEIH43541wJ2bOIJUuW0L59e3r27OmYRLBjx46EhIQ4Hl9//TWdOnVi2LBhtcqanZqCm7cPx3ZuZ8+6OEbecz8B4Ze+5dja1Y+g/+sHvxjg1LWzr4x4KoDKwmXmzJkEBwfzwQcfOEZLFtVV3imrb8kgdwnVkotLACA/zKJl+fXQ+JezePFiIiIiCBk7g3LPEHZ6DOKarn6sPZLJlLvvgbt+x8tTYwn3CGTalLuY9cK/iIiIqDaJYFlZGR988AFz5sypdfFwNGErRbk5rHn7n3QbOoyeI8bUajuXUHfavngNGe/vp/RYLiZ/11ofr2j5LBYLnTt3ZseOHVLIXkJFeSkWi1XXDNLCUktlZRmYzTKBlmjdNm/ejE9kP95Yf5Tf/PMHfjp8jCmR+eSWKILDO0Gnkaw448sAryze+effyMvLo0+fPtUmEVy+fDk5OTk13qlzMWnHjwLg5u3D6Om/r/OXS8CU7rR5OgaDq/yeJqo6ffo0bdu2lYLlImw2G8XFJbrOIwR1LFgWLVpE79698fLywsvLi5iYGFatWuV4ffjw4dU61T3wwAOX3Ofdd99dbZvx48fX72gaUU7uDry9++sdQwjdKKU4nHyKfTka1/cNo0eYFx2M6QR7aNiVory8HIBjKTks2mknrGvl/5cZvxnKzJkzee+99xz7euedd4iNja3XOBgT/+9RLG5uDXNQotW42ACGeXl5nDx5sloroPhZdnY2StkJDAzUNUedftVo27YtL730Ep07d0YpxXvvvcfkyZPZtWsXPXr0AGDGjBk8++yzjm3cavHBMn78eJYuXep4brFY6hKrSWgYpPoWrdrnO06TWVjG8PZ+zL+1L7aKcg4seJbjqrIjXlpaGlA5ieCAAQOIvX06cT/s4uEOSRw+P4ng1KlTOXHiBGvXruV///tfnd7/tmf+RmlRIcEdIxv82ETLVVBQwGeffcapU6cICAggLCzs/MitJoxGI8ePH3fMOSVqlp6eDtC8CpZJkyZVef7CCy+waNEitmzZ4ihY3NzcCAkJqVMIi8VS522amsnkRUlJCq6uoXpHEUIXb244SmBQMD18FUaDRuLKRUQXbefLNr/DxeVdNmzYAPw8ieCaNWuI6eAOJleioqL473//C8DSpUsJCgpiwoQJdXr/Nt26X34lIX4lISGB1NRUxo0bx9mzZ8nKyqKiosLxcHNz47bbbsPVVfo2XUxaWhpmFxc8PDx0zVHvi7k2m43PP/+cwsLCKhOIffjhh3zwwQeEhIQwadIk/vrXv162lSU+Pp6goCB8fX0ZOXIkzz//PP7+/hddv7S0lNLSUsfzvLzGH33P13cQ6RnrpGARrUJBQYFjJmSA3QcOc+Cwlb69erJu3Trmzp3L4dVvMu+W7hw8ks+gQYPYsWMHjzzyCL169SI+Pp7jx5NZeZsrjHmGw6+8T/v27bHb7SxdupSpU6dWG3pfiMZQWFiIr68vgwcP1jtKs5WRkYyXZ5juVxnq/ImxZ88eYmJiKCkpwcPDg2XLljmmZP/d735H+/btCQsLY/fu3Tz66KMcOnTokk2/48eP58YbbyQiIoKjR4/y+OOPExsby+bNmzEaa77n+8UXX+SZZ56pa/QrZtDkA1a0LL8uTJKTk0lMTOTQoUOO2Y8Bnnr8UQD6TJzMsWPH+Oqrr3DLzmX1j/v4bPU2Vq5cicViYfbs2ezbt4/y8nJu6mml09Ab+Cj+gGMSwbVr13Ly5EmmTZvW5McqWidvb2+ysrJIT0/X/ZJGc1VYeAxv7x56xwBVR6WlperIkSMqISFBPfbYYyogIEDt27evxnXXrVunAJWUlFTr/R89elQBau3atRddp6SkROXm5joep06dUoDKzc2t6+HUSUZGfKPuX4imtn79egVUe0ydOlUppdTUqVPVsGHD1De7z6r2j36tsgtL1fr161Xfvn2VixEV7ueqli5dWm2/Xz19s+oZbFIWi0V169ZNvfXWW017YEKcV1BQoF5//XX1/PPPq/T0dL3jNEtLlsxW334b1yj7zs3NrfX3d52bDFxcXIiMrOz01r9/f7Zv386rr77Km2++WW3dQYMGAZCUlESnTp1qtf+OHTsSEBBAUlISo0bVPDuyxWLRpWOuTH4oWprhw4df9O4JwDG8/n93VI4CanUxMnz4cHbt2sWWJbPoeeoTuOn6qhulH2ai9h0TP38ZrpnTSMmFqB13d3emTJnCP/7xD86dO0dAQIDekZqdsrIyXF31HYMFGmDgOLvdXqU/yS9dmJ8hNLT2/T5Onz5NZmZmnbZpMnKXkGilisptACxYcwQXk4EDKXnkZQ3lY95le9xSBt08++eVv/0LeLWBwQ/plFaIqlxcZLLL+lJKnS9Y9O+UXKdxWObOncvGjRs5fvw4e/bsYe7cucTHx3PHHXdw9OhRnnvuOXbs2MHx48dZsWIFU6ZM4dprr6V3796OfXTr1o1ly5YBldfP//znP7NlyxaOHz/OunXrmDx5MpGRkVVmX3UW7m4dyciMv+RvpEK0RPkllWOsLN5wlNfWHaGwtILg8EgKDe6Ekv7zikfWwpFvYexzYNb/A04IgOLiylm6pXCpu7KyMkBhtTazFpa0tDSmTJlCSkoK3t7e9O7dm7i4OMaMGcOpU6dYu3YtCxcupLCwkPDwcG666SaeeOKJKvs4dOgQubm5ABiNRnbv3s17771HTk4OYWFhjB07lueee84px2KxWtsBkJGxBlfXtnh6ym2WonX42+rKWY67BnvS3t+Nt6YMgJI8eKkAT+/KWW+xlUPc49D+aoj6jY5phagqMzMTQC4H1cOFYs8ZWljqVLC88847F30tPDzcMQ7DpfyydcJqtRIXF1eXCLqzWtthtbajoPAIOTkJ+PgM0DuSEI3OzcVIUZmNIC8Law+c41RWEeGuFZUv/rAQev8Wjn8PGYfhprfl8qlwKl5eXkDlAGi+vr46p2leSkpKAOcoWGQuoXrycO+M0ehGfsFBvaMI0ejevKtymP3vj2RgV7B81xlw84M/HalcIfFDWD8P+t0FoX10TCpEdYGBgfj6+rJ79269ozQ7xcXFKDSnuCQkBcsV8PTsTkH+fr1jCNHorukcyNo5w/B3r+wDcDKrqPIF90Dw7wyb/wl2G4z8q44phaiZpmlcffXV7N27l5MnT+odp1kpKSlBQ0kLS3OXkbEef//hescQoklEBnnw1pQBGA0aPdt4Vy4szIDM860s1/4JPIL0CyjEJURHR+Pv78+OHTv0jtKsVFRUoNCcYmRq/RM0QwWFRygtSaGsLAMXFz+94wjRZPq39+XovOt+XuDq9fPfBz/Y9IGEqCWDwUDbtm0dHXBF7dhsNjSUFCzNVXHxSQL8R1JenqV3FCH0ZbLA3DNgK6v8uxBOzM3NjeTkZOx2OwaDXGCojbKyMjTNcNGpcpqS/IvVg4d7ZwoK9uPicvEJGoVoNSwelR1whXBy3bt3Jy8vj8OHD+sdpdkoKyvDZHaOtg0pWOrBam1HaWma3jGEEELUQXh4OO3ateOHH37QO0qzUVxchIvZOQbck4KlnjRNTp0QQjQ3gwcP5tSpU5w7d07vKM1Cfn4Krq7OMeCefOsKIYRoNbp06YKbm5tjrjtxaXl5h/D27qZ3DEAKlnpRSqGQ+YSEEKK5MZlM9OrVi927d2Oz2fSO49RsNht5eZkEBbXVOwogBUu9lJdn4WKWToZCCNEc9e3bl8LCQvbs2aN3FKeWlZWFUnaCgpxjfCXn6PrbzBQVJePh4RxNZEIIIeomNDSU8PBwli9fzubNm+nevTvdu3cnMDBQ72hOJTMzE4WGv79z3BErBUs9uLj4U1aWicnkoXcUIYQQ9XDXXXdx5MgRDhw4wA8//MD69esZOHAg48aNc4oxR5xBZmYmJqMRT09PvaMAUrDUi9XagdTU/+Hi4ofJ5Bz/kEIIIWrPxcWFHj160KNHD8rLy9mxYwdxcXHY7XYmTpyodzynkJl5Fg8PfzQnmX1d+rDUg6ZphITcQHr6t3pHEUIIcYXMZjODBw8mNjaWhIQEjh8/rnckp5CXl4SHR0e9YzhIwVJPmmbALB1vq9m4cSOTJk0iLCwMTdNYvnz5ZbeJj4+nX79+WCwWIiMjeffdd6utc+bMGe688078/f2xWq306tWLhISEhj8AIUSrNWDAAMLDw/nqq6+oqKjQO47uCgtT8PVrr3cMBylYroAMHlddYWEhffr04Y033qjV+snJyUyYMIERI0aQmJjIrFmzmD59OnFxcY51srOzGTp0KGazmVWrVrF//37mz5+Pr69vYx2GEKIVMhgMTJo0iezsbL7//nu94+iqtLSU4pISAvydY9A4kD4sooHFxsYSGxtb6/UXL15MREQE8+fPByAqKopNmzaxYMECxo0bB8DLL79MeHg4S5cudWwXERHRsMGFEAIICgri6quv5vvvv6dnz56t9s6hC7NaO8sdQiAtLPWmlA05fVdu8+bNjB49usqycePGsXnzZsfzFStWMGDAAG655RaCgoKIjo7m7bffbuqoQohW4pprrsHX15cVK1Zgt9v1jqOL7OxsAKdqyZZv3HrKyd2Jl1cfvWM0e6mpqQQHB1dZFhwcTF5eHsXFxQAcO3aMRYsW0blzZ+Li4njwwQeZOXMm7733nh6RhRAtnNlsZtKkSZw6dYqdO3fqHUcXBQUFGDQNNzc3vaM4yCWheqooz8Fs9tI7Rqtgt9sZMGAA8+bNAyA6Opq9e/eyePFipk6dqnM6IURL1KFDB/r168eaNWvo0qULXl6t6/O+oCAfq9XVaW5pBmlhqZeyskxcXFrndc2GFhISUm3W1HPnzuHl5YXVagUqR6Xs3r17lXWioqI4efJkk+UUQrQ+Y8aMwWQysWrVKr2jNLmCgkwsFm+9Y1QhBUs9mEyeVFTk6R2jRRg4aCArVq8goziDE3knAFizZg0xMTGOdYYOHcqhQ4eqbHf48GHat3ee2+2EEC2P1WolNjaWAwcOcPDgQb3jNKni4nNYLM4xh9AFckmoHjIz47Fa5cuyJgUFBSQlJTmeJycnk5iYiJ+fH+3atWPu3LmcOXOG999/HwD/Ef4cf+04UTdF0XFMR6ZapvLZZ5+xcuVKxz5mz57NkCFDmDdvHrfeeivbtm3jrbfe4q233mry4xNCtC49evTgp59+YuXKlXTo0AFXV1e9IzWJ4uIzBAXFXH7FJiQtLPVgMLji4dFV7xhOKSEhgejoaKKjowGYM2cO0dHRPPnkkwCkpKRUuZSztmAt7We3p2BfAdsf2c78+fNZsmSJ45ZmgKuuuoply5bx8ccf07NnT5577jkWLlzIHXfc0bQHJ4RodTRNY8KECZSUlPDdd9/pHadJlJeXk5+fTVBQG72jVCEtLPWglA2llFN1RnIWw4cPRyl10dd/PYptWnEaHlEeRD4byZ1Rd/LowEdr3G7ixIkyv4cQQhc+Pj6MHDmSuLg4evXqRXh4uN6RGlVaWhpKKcLCwvSOUoUULPUkxUrD2D1lNwnnEii3lTM4bLDecYQQokaDBg1iz549fPXVV9x///0tekbnlJQUNE0jKMi5+rDIJaH6kGKlwWiaxlUhVzGkzRAMMtWBEMJJXRi2Pz09nR9++EHvOI3q7NlkvLwCMZvNekepQr4h6kFDChYhhGhtQkNDiYmJYcOGDWzduhWbzaZ3pAanlCIzcxc+Pj31jlKNFCz1oLh4Hw0hhBAt14gRI+jduzerVq3iX//6FwcPHrxkv73m5tSpU+Tnn6N79/56R6lG+rDUh1JkZm6o4QUNo8kdk9EDk8kTo9EDk8kdTWu51zqFEKI1MZvNTJ48mUGDBvHtt9/yySef0KFDB8aOHet0nVR/TSl1fqiJTRQWnmHs2GlVpkapqKggPv5/WN1CiIyM1DFpzTTVAkrDvLw8vL29yc3N1XX4ZKXs2GyFVFQUUGErwFZRQIWtENSFybMUXOpykmbAbPLCbPbBZPLBZPJAk34dohXZuHEjr7zyCjt27CAlJYVly5Zx/fXXX3Kb+Ph45syZw759+wgPD+eJJ57g7rvvdrzeoUMHTpw4UW27hx56iDfeeKOBj0C0Jkopjhw5wrfffktGRgZ9+vRh1KhRTjeMv1KKw4cP8+OPn5Ofn4ybWxClpRoGQykTJ84iPDycoqIiVqz4iIzMrUy47nEiIiKaJFtdvr+lhaUBaZoBk8kTk8mzXtsrZaOiIo/y8hyKio5RUZEP2Kksci7UlTX9XUPTjOff2/t8weMpxY5odgoLC+nTpw/Tpk3jxhtvvOz6ycnJTJgwgQceeIA3br+d748cYfr06YSGhjrG8tm+fXuVvgZ79+5lzJgx3HLLLY12HKJ10DSNLl260KlTJ3bu3Mn69evZt28fQ4cOZciQIVgsFr0jkpWVRVzcp2RkbsPHuycTJ/6FiIgICgsL+fyLN1i27GlcXT0oKy9Bw8yY0X9qsmKlrqSFpYWw2yuoqMijoiKX8vLc88XOhX/aXxY4/GqZAbOLLy4uAbiY/TEYnKtXuGi9NE27ZAtLwYYNPP7ii3y7Ywff/mYyhefv3HgiNIRCi4XVq1fXuN2sWbP4+uuvOXLkiAxPIBpUSUkJmzZtYvPmzVitVkaOHEnfvn0xGJr+l0ebzcamTRvYs/dTTEZvrr32bqKioqr8zNtsNg4dOkRKagquFld69erV5N+h0sLSChkMJlxc/HBx8avTdkrZKC/Ppqwsk6LCoyhVcal3wWTyxNOzJwaD/OgIfZ19/C/8uGsnMWFhoGmEPPUkmUveYYim8ezmzTVuU1ZWxgcffMCcOXOkWBENztXVldGjR9O/f3/WrVvHihUr2Lp1K2PHjqVTp05NluPcuXN8s+pdCgsO0bXrzQwbNhoXF5dq6xmNRrp3715tcllnJd86rZymGStbV1wCgEtPN2C3l3Hy5BI8PXs0TTghLsEcFkbWgf10ufde2s2d61ju/sij5OXlUVxc7Jjx+4Lly5eTk5NTpY+LEA3N19eXm2++mcGDBxMXF8d//vMfOnfuzJgxYxptMDabzcbWrVtISlpPTk4yrq6hTJ78TIsalVcKFlFruXk/0abNnXLZSOhOKYUqKwO7vcpyj5Ej0c4PdlXT1e533nmH2NhYp7+bQ7QMbdu2Zdq0aezfv581a9awaNEi+vfvz/Dhw/Hw8Giw9zlx4gRr175LcfEJAgMHM3Lk9XTr1g2TqWV9xbesoxGNytMjisysjQQHXad3FNHK5Xz2OaWHDhHavj3nzp1zLDcHB2O74Xo8Fi5ES06GHj+3BlZ+qK/lf//7nx6RRSulaRo9evSga9eubNu2jQ0bNrBnzx6mTJlCmzZXNrlgcXEx3377JadOxeHh0ZWbbnqB0NDQBkrufKRgEbVmMnlgsQRTXp6L2eytdxzRimWcvx15QPv2rFu3DoC8b74hb9Vq1qxbR19XK2XJx7H+omBZunQpQUFBTJgwQZfMonUzmUwMGTKEPn36sHTpUjZs2MDvfve7eu1LKcX+/fvZ+P07KHspAwc+yIABA3Tp3NuUpGARdeLh3pWCgoP4+Ayo9prNVozRaK1hKyFqp6CggKSkJMfzykGuEvHz86Ndu3bMnTuXM2fO8JeiIgAeePAhltx8E3PuvpvRP/7IdoORrw4fYnHHTph/cdnHbrezdOlSpk6d2uKayUXz4u7uztChQ/nyyy9JT08nMDCwTtuXlZWxcuXnnD37LQGBVzN+3K14e7eOXyBbdjkmGpTNVkpGxne4u1cfAbG0NI2UlP+Rn79Ph2SipUhISCA6Opro6GgA5syZQ3R0NE8++SRQOYvsiaQk7AUF+Pz2t7Q1m1hy1UBWffIJNxw9yvtlpSz597+ZnnQEt37Rjv2uXbuWkydPMm3aNF2OS4hf6tWrFx4eHvz444912u7UqVO8++6znD37PUOHzua3t85oNcUKyDgsog4yM7/H13cQBkPV2+NKyzLIy/uJwIBRpKXHERgwVm4ZFY1CKcXBqMpbMNt/9CFpr/yd4l27aLPgH3iOGoVWw62bQjijTZs2sX79embNmoWn56UHG7Xb7WzY8B379n2Eh0dXJk68l4CAgCZK2rjq8v0tLSyiDuzVipWyskzycncRGDAKAG+vfuTm7dQjnGgFcr/8EgBzeDhu/frhN+UuAGwFBVKsiGalf//+GI1Gtm3bdsn1SktL+fzzf7Nv3wf06PE77rrrTy2mWKkrKVhEHVRtNSkvzyEnJ4HAwDGOZRZLIOVlmShl//XGQlwxr9hYAAyuFsdzt5jB5K9apWcsIerMarXSr18/tm/fTmlpaY3rlJSU8NFHr5KRsZMxY+YyYsRojMbWO5muFCyiXsrL88jK3kxg4Nhqr/n6xpCdXfNIo0JcCYPFgt+0adjyCxzL3AcNpvDHzVRkZ+uYTIi6Gzx4MKWlpWyuYWTmsrIyPv30nxQWneL66/9C166XHtizNZCCRdSa3V6CUoqKinyysjcRFDi+xr4qJpMnNnsJStlq2IsQV8alfXsqzp1zFCim8yOHlh0/rmMqIerOx8eHwYMHs2nTJvLy8hzL7XY7X375AQUFSVw/+dErHq+lpZCCRdSat3c/srI2kZm5gaDA2Et2rPX1GUx29pYmTCdaC49rrwGlKPz+ewBc2lUOPW6UDveiGRoyZAgVFRWcPn3asWzbtq2kpW1g5Mj/o23btjqmcy5SsIhac3EJwGBwIShowmXvAjKZ3KWVRTSKiswsAAzu7qiKCgo2bQKgPCVVz1hC1MuFcYEu3LBbUFDArl0f07ZtLFFRUXpGczoygpKoE1/fQbVf93wri5/f0EZMJFobS+fKcYCyP/yQ/G+/JXfFV1gH9MfSMULnZELU3YXRaZVSlJeX8/nn/wRcGDlSRmT+tTq1sCxatIjevXvj5eWFl5cXMTExrPpF7/zhw4ejaVqVxwMPPHDJfSqlePLJJwkNDcVqtTJ69GiOHDlSv6MRTkVaWURjMFgsYDRSevw4uV+uIPS5Z+nwwQdVRrYVorm40Fptt9tZtep/FBUdY/LkOZcdm6U1qlPB0rZtW1566SV27NhBQkICI0eOZPLkyezb9/PopjNmzCAlJcXx+Nvf/nbJff7tb3/jtddeY/HixWzduhV3d3fGjRtHSUlJ/Y5IOBVfn0HSl0U0OI/hw6k4m4LB0xPv66/XO44Q9XahhWXHjgROnlrF4MH3y2ziF1GngmXSpElcd911dO7cmS5duvDCCy/g4eHBli0/fyG5ubkREhLieFxq5DqlFAsXLuSJJ55g8uTJ9O7dm/fff5+zZ8+yfPnyeh+UcB4mkwc2W7GMyyIalLVn5aSG1t690WRuINGMVdjycXPLpqhoA+3CY+nXr5/ekZxWvTvd2mw2PvnkEwoLC4mJiXEs//DDDwkICKBnz57MnTuXovOTlNUkOTmZ1NRURo8e7Vjm7e3NoEGDarwv/YLS0lLy8vKqPITz8vUdLOOyiAZlCg0FwHPMmMusKYTzKipKpqDgJwYMuJaBAx9m0qRbZVqTS6jzryZ79uwhJiaGkpISPDw8WLZsGd27V87t8bvf/Y727dsTFhbG7t27efTRRzl06BD/+9//atxXamplr/7g4OAqy4ODgx2v1eTFF1/kmWeeqWt0oZNftrJomtyYJq6c16RJ7MvLxK17V3z1DiNEPVRUFFBYdIzAgFGMHKl3muahzgVL165dSUxMJDc3ly+++IKpU6eyYcMGunfvzn333edYr1evXoSGhjJq1CiOHj1Kp06dGiz03LlzmTNnjuN5Xl4e4eHhDbZ/0fAutLLIHUOiIZzYk8iWlctg5TL++OnXescRok6UUmRkfEdw8CS9ozQrdf5118XFhcjISPr378+LL75Inz59ePXVV2tcd9Cgyltgk5KSanw9JCQEgHPnzlVZfu7cOcdrNbFYLI47lS48hHMzmTyw2Uuw2yv0jiKc1MaNG5k0aRJhYWFomnbRfmzHf9rJ1wtfBiApLZNePXpgsViIjIzk3Xffrbb+mTNnuPPOO/H398dqtdKrVy8SEhIa8UiEuLTMzPUEBIyQyz91dMXt83a7/aITNyUmJgIQev56869FREQQEhLCunXrHMvy8vLYunVrlX4xomXw8x1Cdo7cMSRqVlhYSJ8+fXjjjTcuuk5RXi7LX3mO0M5dif3LC/z7++2EWgxs27yZWbNmMX36dOLi4hzrZ2dnM3ToUMxmM6tWrWL//v3Mnz8fX1+5kCT0kZe3B6u1PSaT3LZcV3W6JDR37lxiY2Np164d+fn5fPTRR8THxxMXF8fRo0f56KOPuO666/D392f37t3Mnj2ba6+9lt69ezv20a1bN1588UVuuOEGNE1j1qxZPP/883Tu3JmIiAj++te/EhYWxvVyq2KLYzRaUfZy7PZyDAaz3nGEk4mNjSX2/GzMF3Pg+/Uou53rHv4jz8x7kY6RkYzr3J5DX33O75+cx6ZNm1iwYAHjxo0D4OWXXyY8PJylS5c69hERIQPMCX2UlqZRUZGPl1cvvaM0S3VqYUlLS2PKlCl07dqVUaNGsX37duLi4hgzZgwuLi6sXbuWsWPH0q1bN/74xz9y00038dVXX1XZx6FDh8jNzXU8f+SRR/jDH/7Afffdx1VXXUVBQQGrV6/G1dW1YY5QOBVf3yFkZ/+odwzRTO357lsioq/CzduHzZs3M278eMK6RHFq/x7i33ubcePGVbnDcMWKFQwYMIBbbrmFoKAgoqOjefvtt3U8AtFa2e3l5ORsx89viN5Rmq06tbC88847F30tPDycDRs2XHYfF+ZLuEDTNJ599lmeffbZukQRzZTRaEEpO3Z7KQaDRe84opmpKC8j49RxoPIuw+DgYG6fO5fV/1rAzlUrUB2jyMvLo7i4GKvVyrFjx1i0aBFz5szh8ccfZ/v27cycORMXFxemTp2q78GIViU9Yw2BgXIb/pWQEZdEk3Nz60hJyVnc3KRpXtTe4S2byD2XSv8Jk6u9NnrGw6SfPM6GH6r+0mS32xkwYADz5s0DIDo6mr1797J48WIpWESTycrejLd3PwwGF72jNGsyKIZochUVuZjNPnrHEM3Iyb27+eb1v9Nt6DCG3XkvUHmX4YU7DE1mM9c9/EfyS0pxt1oxGSrvvggNDXWME3VBVFQUJ0+ebNoDEK1WYeExTEZ3XC0Xv/NV1I4ULKLJVVTkYzLJreiidk7u3c3nzz1O2+69GP/QLLTzc6/ExMRUucPQv2070jUzbb09+OSpRwEYOnQohw4dqrK/w4cP0759+6Y7ANFq2WzFFBUl4eXV+/Iri8uSgkU0OaVsaJpR7xjCyRQUFJCYmOgYDiE5OZnt27fx1mOzAdiWU8w90+51rP/AAw9w7NgxHnnkEQ4ePMi//vUvNu5I5NouHUlLPordZmP27Nls2bKFefPmkZSUxEcffcRbb73F73//ez0OUbQyGZnrCQgYpXeMFkMKFiGEU0hISCA6Opro6GgA5syZw8CBg4jbd5huQ4eRlp5R5VJOREQEK1euZM2aNfTp04f58+ezZMkSJt1wAwD7Nq7jqquuYtmyZXz88cf07NmT5557joULF3LHHXfocoyi9cjN3YmXZx/55awBSadbIYRTGD58eLW7CAE+ffoxgBpHsR0+fDi7du2qsqy0qJC05CS+Xfwage0imDhxIhMnTmyUzELUpKwsiwpbEd7WNnpHaVGkhUUI4dSsnl6UFOTXen2Lmzu/fbpy6P4PH5+N3W5rrGhCVKOUIjv7R/x8Zd60hiYFixDCqVm9vMg4dYLctHOXX/k8D18/Bt1wKwDFeXmNFU2IarKyf8DPb6jME9QIpGARQji16HETMRiN/OfRmRzavKnW23UbOgyAb17/e2NFE6KK4uLTmIwemM0yV1VjkD4sQgfV+ymI1i0prQCri5E2PtZqrwW068BdL7/Gmrff4OuFL3H8pzG069kHzvd3cfw0KeXoA2M0mWjXqy8Wd3dO7v2JtOPHCOrQsYmORrRGdnsFefl7CA669HxYov6kYBFC6CI1t4SvfjrL8sQz7Dubx1UdfPn8gZrnWXF192Di/z3C3t7RrH/3LfauX3PZ/WuaAaXs9BwxBr+wtg0dX4gqMjLWEhgwUu8YLZoULEIHcm23Jdu4cSOvvPIKO3bsICUlhWXLllWZff2OJVv4ISkTTQOz0cCobkGQsp+Vz87C8n8nCQ8P54knnuDuu+92bNOhQwdOnDhR7b0euP9+XnvtVTQ0ON9nQNOgpKCAw1t/wNMvgMirBjf2IYtWLjtnO15evWV+tEYmBYsQokEVFhbSp08fpk2bxo033ljt9R+SMgF4+cbejOsZQlbqaaJmzMal1zg2xy3j+w3xTJ8+ndDQUMaNGwfA9u3bsdl+vttn7969jBkzht/edhtml+pfEu4+vkSPk1uZReMrKjqBQTPj6hqmd5QWTwoW0aSUslFenkN5eTaaZkLTXDAYTDK4UgsSGxtLbOzFr+PPGdOFNzcc5cZ+bTAZDcxbvJjQ8HaokdMJDO/Eww/3ZNOmTSxYsMBRsAQGBlbZx0svvUSnTp0YNmxYox6LEJeilI2CggMEBY3XO0qrIAWLaGIG3N07U1x8Cru9DKUqsNvLAXsTZrhwSepCd00DBoMFg9GCwWDBaKj802BwOf+nBU0zy22KDWRoZAD/WHOY33+0kzfvGsDmzZu5+toRfA/sPJlNmI+VcePGMWvWrBq3Lysr44MPPmDOnDnybyJ0lZm5EX9/KZqbihQsoklpmoanZ5TeMapQyo7dXobdXup42GxFlJdnV/7dXoqyl9dlj9Stn45G9Tunfi6qrNZw3Nwi6rA/5xYd7gNA3L7KcVVSU1MZN348xwxWvt13jom9wwgODiYvL4/i4mKs1qp3Di1fvpycnJwqfVyEaGrFxWdwcfHHaKx+Z5toHFKwiFZP0wwYja4Yja56R6lRZtYmzGZfzGYfvaM0CINB409ju7Ao/igl5ZX9Ugyaxm1XhfP6+iTS8kouuf0777xDbGwsYWHSZ0DoQylFXv5uuYW5icnAcUI4OT/foWRl/VDjPDvN1fieoRSW2Yg/lE5ISAjnzp1jypAOaMCKn85y7tw5vLy8qrWunDhxgrVr1zJ9+nR9ggvB+dFsZej9JicFixBOTtM0/PyGkJ39o95RGkxkkAfdQjz5avdZYmJiWLduHd5WM1GhXuw5k8uaNWuIiYmptt3SpUsJCgpiwoQJOqQWAsrLszFoJsxmL72jtDpySUiIZsBs9sVodKe4+DRWq3MPglZQUEBSUpLjeXJyMomJifj5+dGuXTvmzp3LmTNniL7+z3y87SRf3HkP//znP3nkkUcocY9m1/af+PGzz1i5cmWV/drtdpYuXcrUqVMxmeSjS+gjO3srgYHj9I7RKkkLixDNhLd3X/Ly92C3V+gd5ZISEhKIjo4mOjoagDlz5hAdHc2TTz4JQEpKCidPnuS3V4UDoHkFs3LlStasWcPa56ey/av3WbJkieOW5gvWrl3LyZMnmTZtWtMekBDnFRQcwsOjq9ydphNNtYAL43l5eXh7e5Obm4uXlzTTiZbLZislK2sjgYFj9I5yxYrKKuj5VBxP/6YHU2I6ALB4w1FeW3eExCfH4mKS36eE81BKkZ7xLUHSutKg6vL9LZ8IQjQjRqMFN7cI8vMP6B3lirm5mBgaGcC6A2mOZSO6BlFUZuP1745gszf736VEC5KTsw1fn4F6x2jVpGARoplxd4+ktDSFiopCvaNcsY4B7pzILHTcAdU1xJP7h3Xk9e+S+Pu3h3ROJ0Qlu72MClsBZrOv3lFaNSlYhGiG/P2Hk5m1Qe8YV+zqzoEczyxi0YajjmVzY6N4dHw3FsUf5fV1R3RMJ0SlrKwf8Pe7Wu8YrZ4ULEI0Q5pmwMe7P9k52/WOckXGdA8G4G+rD5GUlu9Yfv+1HXl4RCTz1xxm58lsveIJQXl5Dgajq8zE7ASkYBGimbJYgkEpSkvTLr+yE3tvWmW/gPnfHnYsMxg0Zo/pgo+bmee+3q9XNCHO910ZrHcMgRQsQjRrvr4DycnZjlJNOXlkwxrWJZDnJvdg9b5U9p7JdSz/Zk8KOUXlRAZ66JhOtGZlZZmYzX5yG7OTkIJFiGbO338YmZnNuz/L7QPbERHgzsurDwLw4dYTzPo0kfE9Qph3Yy+d04nWKjd3J97e/fWOIc6TgkWIZs5k8sBiCaaw8OjlV3ZSJqOBmSM78/2RDL7efZa/LNvLuB7BvHZ7NGajfEyJpldenoPJ5C2tK05EPgmEaAE8PbtTWJSE3V6qd5R6C/Kq7NT48Ee7AHj99n4yeJzQTU7Odnx8rtI7hvgF+TQQooUI8B9FRsZ6vWPUWzs/N4I8LQzs4Me/7x6A0SC/2Qp9lJfnYTJ5SuuKk5EZxIRoIQwGE56ePcjN+wlvrz56x6mztr5ubPvLaL1jCEFOzjYCAkbpHUP8irSwCNGCWK3hVJTnUV6eo3cUIZqliopCjEartK44IWlhEaKF8fO7mrS0lQQFTZAPXdFiVFTkU1x8krKyjF8s1QCFQmE0uOHl1Qej8coGeMvJ2Ya//7VXtA/ROKRgEaKF0TQNP7+hZGf/iJ/fUL3jCFFndnsFBQX7KSvLrFygaZiMHlit7fHw6F5jIW6zFZGeHkdAwEhMpvqN3WO3V5x/O2O9s4vGIwWLEC2Q2eyL0ehOcfEprNZwveMIcUk2Wyn5+XuoqKicnkHTTHh6RuHl1bvW+zAa3QgOnkhW9o/YbcV4eUdjcQmoU47c3AR8ZEZmpyUFixAtlLd3X86lrcJiCcVgkP/qwrkUFh6luPgkAAaDBS+vXphMnle0T00z4O93NUop8vJ+Ii83EXf3zri5ta/V9jZbMSaT+xVlEI1HOt0K0YIF+I8kM7P53urc3GzcuJFJkyYRFhaGpmksX778stvEx8fTr18/LBYLkZGRvPvuu9XWOXPmDHfeeSf+/v5YrVZ69epFQkJCwx9AI1NKkZOTQHr6t2iakYCAEQQEjMDPb8gVFyu/pGka3t59CQwcTXHxiVpms4P0+XJqUrAI0YIZjRbc3CLILziod5RWobCwkD59+vDGG2/Uav3k5GQmTJjAiBEj2Pi3V5h+1VVMnz6duLg4xzrZ2dkMHToUs9nMqlWr2L9/P/Pnz8fX17exDqPBKWUnK+tHMjLW4uYWQWDgWNzcOugdq4q8/D14eco0EM5M2omFaOHc3SNJz1iH1TVcmrsbWWxsLLGxsbVef/HixURERPDktddy9tHHmAxsdHPjb488wvCOHXFp356XX36Z8PBwli5d6tguIiKiEdI3jpycBMorcvH1GdigrSi1pVQFSqnL3jFXXpbVLMcvak2khUWIViDAfwSZmfF6xxC/snnzZkZcdRUpzzyL128m0XXnDkYNHsy2vXs5Nuk3pL/+T1asWMGAAQO45ZZbCAoKIjo6mrffflvv6Jdks5WQnb2V9PQ1uLqGERgwSpdiBcDLqw+5eTsvuY5SqonSiCshBYsQrYCmGfD27kdOTvPr99CSpaam4pqwA3NICKFPPYXBzY1uv/89BXY7JXY75ampHDt2jEWLFtG5c2fi4uJ48MEHmTlzJu+9957e8WuUn7+P7OzNeHr2JDBwDK6uYbrmcXHxv+xAiqWlqVhcQ5smkKg3KViEaCVcXUOxq3JKS9P1jiLOsxcVUZGaSshTT2Fwr7xcp5nNjte9xo3FbrfTr18/5s2bR3R0NPfddx8zZsxg8eLFesWukd1eQVp6HAaDlYCAEU51+dGgmSo71V5EYWES7m6RTZhI1IcULEK0In6+MeTkbJUmcCegbDb8iovJCwrEfdDPY3+cO3cOLw8PXA0G7KWlhIaG0r179yrbRkVFcfLkyaaOfFElpamkZ3yLv99w3N076h2nGnf3zhQUHLro60qVy63/zYAULEK0Mn5+15CVtUnvGK2CvayMiszMastLDhzg9B9m0hvYWlZW5bU1a9YQM3QompsbpQcOMHToUA4dqvple/jwYdq3r93YIo2tqOg4hQVHCA667oqHxW8srq5hlJScrvG1iooCDAbXJk4k6kNKSiFaGbPZG4PRldLSNCyWIL3jtCgFBQUkJSU5nm97+A/g5kZAu3Air72WV/bs5eShgzyPhrltW/4wbx4fz5nDI488wrRp0/juu+/47LPP+GT2bNRXX2MdMIDZw4YxZMgQ5s2bx6233sq2bdt46623eOutt3Q80koFBYcoL8/F3/8avaNcltWtA/n5B/D0jHIsU0qRkfEdwcETdEwmaktTLaBtOC8vD29vb3Jzc/Hy8tI7jhDNwrlzKwkKuk4mSGxA8fHxjBgxotryW/v25cV27fnjhnjOKoh77128J05EM5mIj49n9uzZ7N+/n7Zt2/LXv/6VIYvfxHPMaEKfew6Ar7/+mrlz53LkyBEiIiKYM2cOM2bMaOrDq6KoKJmy8ix8vPvrmqMusrO3obDh7dWPiopccnK24+9/rW53MIk6fn+rOvjXv/6levXqpTw9PZWnp6caPHiw+uabb6qtZ7fb1fjx4xWgli1bdsl9Tp06VQFVHuPGjatLLJWbm6sAlZubW6fthGjNSkszVGbWj3rHaNFO3Dtd7Y/q7nhuKypSdpvtstsd7D9AZbz9dmNGuyJlZdkqPf07vWPUS3l5nsrK2qxychP1jiJU3b6/69SHpW3btrz00kvs2LGDhIQERo4cyeTJk9m3b1+V9RYuXFin39rGjx9PSkqK4/Hxxx/XJZYQoh5cXPxBKcrKsvSO0mL53vZbsNtJW7gQZbNhsFrRDJf+2C09loy9oAB7aWkTpawbu72CzMyN+PsP1ztKvZhMnvj6DpZB4pqhOvVhmTRpUpXnL7zwAosWLWLLli306NEDgMTERObPn09CQgKhobW7r91isRASElKXKEKIBuDrG0Na+iqCg67TO0qL5DFqFIF/nEP6PxZQtG07vrf9Fs/RozG4uV10m2PXVf5bmNu0aaqYtaaUIi19FUFB4+RSomhy9b5LyGaz8cknn1BYWEhMTAwARUVF/O53v+ONN96oUwESHx9PUFAQXbt25cEHHySzhl71v1RaWkpeXl6VhxCi7jRNw8e7vwwo10g0TSNgxgzavbMEDBpnH3mUw1dfw9lHH6Pwxx9RNhsAFZmZ2IuLq2zrNW6cHpEvqfLW5WsxGJzzbiDRstX5LqE9e/YQExNDSUkJHh4eLFu2zDFGwOzZsxkyZAiTJ0+u9f7Gjx/PjTfeSEREBEePHuXxxx8nNjaWzZs3YzQaa9zmxRdf5JlnnqlrdCFEDSyWYAoKDlFRkS+dDxuJ+5AhuA8ZQtnp0+SuWEHelyvI/fJLTMHBmENDKU5MxO2qq2j/n/cd2xisVh0TV5eR8R3e3v0xm731jiJaqTrfJVRWVsbJkyfJzc3liy++YMmSJWzYsIGkpCT++Mc/smvXLjw8PCp3rmksW7aM66+/vtb7P3bsGJ06dWLt2rWMGjWqxnVKS0sp/cX13by8PMLDw+UuISHq6UJTv1waahpKKUp++oncFSso/HEzmtlM6ZEjtP/P+2QueYeCDRuIOnigQd7nSi/dKGUnI2Mtnp49dR9mX7Q8dblL6Ipvax49ejSdOnXCarXy2muvYfhFhzKbzYbBYOCaa64hPj6+1vsMDAzk+eef5/7776/V+nJbsxBXrrj4DGVl6Xh799U7SqtjLynh8FUDUeXlGLy8UOXldN2544qKjdd2vsbbe97mTwP+xG3dbsNSj0HdCgoOUVR0HH//azAaL97vRoj6qsv39xWPdGu32yktLeWxxx5j9+7dJCYmOh4ACxYsqDIt+uWcPn2azMzMWnfYFUI0DKu1DRUVuVRU5OsdpdUxuLrSae1avCZNwp6XhyourlKsbNy4kUmTJhEWFoamaSxfvvyS+1uVvIoFny0g6akk7ul7D15hXrzz73eqrNOhQwc0Tav2+P3vf49SivT0tWiakaCgcVKsCKdQpz4sc+fOJTY2lnbt2pGfn89HH31EfHw8cXFxhISE1NjRtl27dkRERDied+vWjRdffJEbbriBgoICnnnmGW666SZCQkI4evQojzzyCJGRkYxzwg5nQrR0fn7Xkpb2jYz8qQNzcBBtXvkbBlcL2q/6rxQWFtKnTx+mTZvGjTfeeMn9bDy9kVn/ncWZV89wx7Q7yI/O58cNP3LffffRtk1bx2fr9u3bsZ3v9Auwd+9exowZw403Tubcua/OT2AofZqE86hTwZKWlsaUKVNISUnB29ub3r17ExcXx5gxY2q9j0OHDpGbmwuA0Whk9+7dvPfee+Tk5BAWFsbYsWN57rnnsFikF7oQTU3TNLy9+5GTk4CPzwC947RKF0a3/aXY2FhiY2Nrtf3ms5vJWp9FZMdIlr5R2br9XI/nWJi0kFfmv+IoWAIDA6ts99JLL9GxYwd69KwgOGgCmlbzTQ9C6KVOBcs777xz+ZV+oabuMb9cZrVaiYuLq9M+hRCNy9U1lMLCJMrLc+WOECeQcbqAc8m5dL86rFZ9Wn7b9bc8d/Q5Qvr/3OL9cPTD/LvXv/nh4x9q3KasrIz//Oc9HnzwVkKCpeO1cE4yW7MQoho/v6tlRmcnsHv9aT59fhvxHx7i6M50x/LcjOKLbtPBuwNavobN4+fLPb6uvgyPGk5JQQkZeRnVtvngg5fIzc3noYeeatgDEKIBScEihKhG0zR8fK4iO3ub3lFatMt1pt278QwAPsFuxL29lxWvJQLwxzl/xGKxEBkZybvvvlttvyZlYte3u/D398dqtdKrVy86lncEYNmRZY71lFKkpcXx8cfriY2NJSxMblsWzksKFiFEjSyWIJQql7mGGtGFzrRvvPFGja9npxQCMOz2LgDs2lI5b1uYXwfWfP09s2bNYvr06VUurWdnZ5OfkU9ZWRnvfvEu+/fvZ/78+bgoFyzuFj4++jFltrLzxco35OW14bvvNjJ9+vRGPlohrowULEKIi/L1HUJ29ma9Y7RYsbGxPP/889xwww3VXsvL/PmyT1AHL+5/bRh5wbsAiOk2ngC3tjz88MPcfPPNLFiwwLHuH5/6IwYPA16uXkwaMYmIiAjGjh3LTz/9xKDBg8gozuDLpGWcS/saf/9hfPDBFwQFBTFhgtwZJpybFCxCiIvSNA1f30FkZ2/RO0qr89+XdwDg6edKcUkRe/fvYf2G7wDIr8ggYdsOTp48ybhx44iPj2fKlCmkFqby6f8+pd2AdmSdyMLd3Z3u3btzxx138Nlnn/H4nx8n0qcj2478i8CA0RgMbixdupSpU6diMtV5phYhmpT8hAohLsnFJYDCwiRKyzKwuAToHadV2Lz8KEV5ZYy4qxvdh4YRHx/PiBEjHK9/vO51Pl73OlN/msqtt95KaWkpR48d5f/W/x8laSWczjjNb3/7WxISEjh8+DAHDx5k2rRpnGtzFq8DhwhsdydGo5Vvv/2WkydPMm3aNB2PVojakYJFCHFZvr6DOXduJUFB113x3DTi8vLSKy8HpZ3Ip/tQGD58OEopunTpwj333EN363hc3c2Mm9GTb775BoCBTw3kh7QfMGCgX79+fPjhh479zZw5k282rKTiwA/06ziDP/SbDcDYsWNrHH5CCGckl4SEELXi5zeE7Owf9Y7RKoy9tweaQWPfxjMU5v480WtISAjnzp2jILuUpB1pFOaUkpqaisXdwrqz63h+6POEhYbRvXv3KvuzhFo4e+ok/Tvex8z+c6ToFM2SFCxCiFoxm33RDC6Ulp7TO0qLpxk0fEMq5+9x83JxLI+JiWHdunX0vLYNAO8+9gN/e3MB5ggzT8Y8ydgOYxk6dCiHDh1ybJNamMrXP/wHn1BfHoqe2bQHIkQDkoJFCFFrvj5XkZOTIJcRGkhBQUGVyWKTk5NJTEzk5MmTmC1GVu95lylTpjrWf+CBB0g6cpTnX3mK3jd5snHflxzZvp9hAydxc5ebAZg9ezZbtmxh3rx5HDh8gDuf+Q1H1qbz9J+ex2iQ4fZF86WpFvDJU5fpqYUQV6a8PJe8vN34+1+jd5Rm79edaS+YOnUqLz31KtePvxWbWx6LXvgY70Ar7j4WXv7jv/nfj4tIyz9JSHAY13a6hau6jcY/tow7fjMRgK+//pq5c+dy8PBB3AIN/N+cR3l2zrNNfXhCXFZdvr+lYBFC1FlO7g5cLaG4usrIqI1p7dL9HN5+DmWv+jFtMhuIGhrGtbd1oaC4iNde+QK31CAmPR5Fp7btAYhLXs2H22czrufj3NH9Lj3iC3FZdfn+lktCQog68/HuT25eolwaamRDborE6mGusmzEXd1o18Ofg1tSUErhYXXjwVmTsRnL+OI/GwFIzk3mPwlzaRs0ht9F3alHdCEanBQsQoh68fe7hqysjXrHaNHcvFwYO70HAFff0pnfPT2I0E7enNyfSUSfAMfdPr5e3gSPMOBxog3xCVuZ9/0fcLEE8pehL8odQaLFkIJFCFEvJpMnJrMPxcWn9Y7SorXp4ss9f7ua3iPb4hvizo//O4qblwvD7+hWZb3bJseS75XO+o/3UVR4jJmD/4a72V2n1EI0PClYhBD15u3Vh7z8PShl1ztKi+bm5YKmaZw9ks3x3RkMntwJs0vVO35MRiNderSlo08WnY2/pW9QX33CCtFIpGARQlyRAP9hZGbG6x2jVfj+syPn/zzM0Z1pVV5LP5VPwcntuAf04tGJj+oRT4hGJQWLEOKKGI1uWCzBFBUl6x2lxTNbKltVivPLST2W61hut9nZ+Pk6XK1tuGHGGKyurnpFFKLRSMEihLhinp49KCg4jN1eoXeUFm3iw32YMm8IUUNCOfBjCiUF5QDsjj9FYdERrr1pLEaTfKyLlkl+soUQDSIgYDiZmev1jtGiubia8PRzZfD1nbDbFdtWJlOUV8aeLV/RPnIMIRHeekcUotHIbM1CiAZhMFiwWttRUHAYD48uesdp0dy8XBgQ24EtXx6jOK8INDuDJvXQO5YQjUpaWIQQDcbDoyvFxcex20svv7K4In1GhuPqbiLlbDztI0fg6m6+/EZCNGNSsAghGpS//wgyMuL1jtHiGc0Grr4D/IPbM3BCt8tvIEQzJ5eEhBANymAw4+HRhfz8/Xh6dtc7TotVWHiMkI4+dOkrk1CK1kFaWIQQDc7NLYKS0hRstmK9o7RYRUVH8fLqpXcMIZqMFCxCiEYR4D+czMwNesdokcrL8zCZ5I4g0bpIwSKEaBSaZsTTswd5ebv1jtLiZGX/gI/PAL1jCNGkpGARQjQaqzWcsvIsKiry9Y7SYpSUnMXN2h5Nk49v0brIT7wQolH5+w0jM3Oj3jFajMLCo7i7yzg3ovWRgkUI0ag0TcPbux85OQl6R2kRlKrAYJAbPEXrIwWLEKLRubqGYreXUl6erXeUZq2oKBmLJVjvGELoQgoWIUST8PUdQlbWj3rHaNYKC4/K2Dai1ZKCRQjRJDRNw9d3ENnZW/SO0mxpmlHvCELoRgoWIUSTcXEJAAyUlqbrHaXZKS09h9Fo1TuGELqRgkUI0aR8fQeSk7MVpZTeUZoNpexk52zD13ew3lGE0I0ULEKIJufndw1Z2T/oHaPZyMzcQID/SL1jCKErKViEEE3ObPbGZHSjpOSs3lGcns1WhGYwYzK56x1FCF1JwSKE0IW3dz9yc3ehlF3vKE4tO2cbvj5yKUgIKViEELrx9x8mEyRejlIyUJwQSMEihNCRyeSBi4s/RUUn9I7ilKRjshA/k4JFCKErL6/e5BfsRymb3lGcTnHxcdzcIvSOIYRTkIJFCKG7AP8RZGSs1zuG0ykqOo7V2l7vGEI4BSlYhBC6MxpdcXVtQ2HhUb2jOB1N0/SOIIRTkIJFCOEUPD2jKCxMwm4v0zuKU7DbK9A0+YgW4gL53yCEcBoBASPIyJRLQwD5+Xvx9OyldwwhnIYULEIIp2EwuODu1on8goN6R9FdeXk2Li5+escQwmlIwSKEcCru7pGUFJ/CZivRO4oQwolIwSKEcDr+/iPIzIzXO4ZuysqyMJt99Y4hhFOpU8GyaNEievfujZeXF15eXsTExLBq1apq6ymliI2NRdM0li9ffsl9KqV48sknCQ0NxWq1Mnr0aI4cOVKngxBCtCwGgwkPj27k5e3RO4ou8vP34uUl/VeE+KU6FSxt27blpZdeYseOHSQkJDBy5EgmT57Mvn37qqy3cOHCWt+K97e//Y3XXnuNxYsXs3XrVtzd3Rk3bhwlJdIcLERr5ubWgbKyDCoqCvWO0uQUdjTNqHcMIZxKnQqWSZMmcd1119G5c2e6dOnCCy+8gIeHB1u2bHGsk5iYyPz58/n3v/992f0ppVi4cCFPPPEEkydPpnfv3rz//vucPXv2si0zQoiWz99/GJlZMteQEOIK+rDYbDY++eQTCgsLiYmJAaCoqIjf/e53vPHGG4SEhFx2H8nJyaSmpjJ69GjHMm9vbwYNGsTmzZsvul1paSl5eXlVHkKIlkfTDHh79SU3d6feUZqM3V6BhrSuCPFrdS5Y9uzZg4eHBxaLhQceeIBly5bRvXt3AGbPns2QIUOYPHlyrfaVmpoKQHBwcJXlwcHBjtdq8uKLL+Lt7e14hIeH1/UwhBDNhKtrGBUVBZSXt45fTAqLknB3j9Q7hhBOp85zlnft2pXExERyc3P54osvmDp1Khs2bCApKYnvvvuOXbt2NUbOKubOncucOXMcz/Py8qRoEaIF8/O7hrS0bwgOnqB3lEZXWpqKh3tXvWMI4XTqXLC4uLgQGVlZ/ffv35/t27fz6quvYrVaOXr0KD4+PlXWv+mmm7jmmmuIj4+vtq8Ll43OnTtHaGioY/m5c+fo27fvRTNYLBYsFktdowshmilN0/D26U9OTgI+PgP0jtO4lJL5g4SowRWPw2K32yktLeWxxx5j9+7dJCYmOh4ACxYsYOnSpTVuGxERQUhICOvWrXMsy8vLY+vWrY5+MUIIAeBqCcFuL6W8PFvvKEIIHdSphWXu3LnExsbSrl078vPz+eijj4iPjycuLo6QkJAaO9q2a9eOiIgIx/Nu3brx4osvcsMNN6BpGrNmzeL555+nc+fORERE8Ne//pWwsDCuv/76Kz44IUTL4us7pEVfGqqoyMdk8tQ7hhBOqU4FS1paGlOmTCElJQVvb2969+5NXFwcY8aMqfU+Dh06RG5uruP5I488QmFhIffddx85OTlcffXVrF69GldX17pEE0K0Apqm4eMzkOzsrfj6DtI7ToPLy9uDt3c/vWMI4ZQ0pZTSO8SVysvLw9vbm9zcXLy8vPSOI4RoZFlZP+Lh0RUXF3+9ozSojMx4AvyH6x1DiCZTl+9vmUtICNHs+PrGkJ29hRbw+1YVGtLZVoiLkYJFCNHsaJqGr+9gsrMvPsBkc6OUQimb3jGEcFpSsAghmiUXF380zURpabreURpETm4C3t799Y4hhNOSgkUI0Wz5+g4kJ2dbi7g0ZKsowGz21juGEE5LChYhRLPm5zeU7Owf9Y5xRez2UjSDWe8YQjg1KViEEM2a2eyDwWChpPTi8485u5KSs1hdZXoRIS5FChYhRLPn4zOA3NydzfbSUEnJWSyWy89wL0RrJgWLEKJF8Pe7hqys7/WOUS92exlGo8yPJsSlSMEihGgRTCZPTCYPSkpS9I5SZ5pm1DuCEE6vzrM1CyGEs/L27se5tG+wWELqPeNxRUU+BQWHqLAVAKBhABQKdX5gNw1Q5/8EhR0AL89e9R5598I+hBAXJwWLEKJF8fUZTHbOFvx8azfju91eSnb2NuyqDINmwmTyxMOjGyaTR63fUyk7eXm7ycv7CU0z4+NzFUZj7eZDs9vLMWhyh5AQlyMFixCiRXFx8YMCO+XlOZjNPhddr6TkLPn5+zEYzPj6DsFwBbcVa5oBb+++ANhspaSmLiMs7Le1auUxGMwoVVHv9xaitZA+LEKIFsfXdwhZFxmbpaTkLOnp31JWlklg4Gj8/YddUbHya0ajhYCAUeTl/dRg+xRCSMEihGiBNE3D26svubmJjmWlpecqC5XyLAIDx+Ll1avR3t9iCaS09BxK1bZvikx6KMTlSMEihGiRXF3DKC/PprQ0nfT0bykpSaksVDx7Nsn7+/ldTVr66mY7NowQzkYKFiFEi+Xvfy0FhYcICBjt6GPSVEwmd3x9BpOW9k0tihYpaoS4HClYhBAtlqYZ8fe7Gk3T56POxcUPf/9hZGbG6/L+QrQkUrAIIUQjMpk8dCuYhGhJ5H+REEI0MnWJSz52exnyUSzE5cn/EiGEaAIX68eSnb0VH5/+TZxGiOZHChYhhGhkXp69ycnZWm25zVaKUhUYjW46pBKieZGCRQghGpmLix9Gozs5OQmOZeXlOaSnx+Hnd42OyYRoPmRofiGEaAJeXr0oKTlLRsZ6NM2IwWAhOHhSvSdpFKK1kYJFCCGaiKtrGK6uYXrHEKJZkktCQgghhHB6UrAIIYQQwulJwSKEEEIIpycFixBCCCGcnhQsQgghhHB6UrAIIYQQwulJwSKEEEIIpycFixBCCCGcnhQsQgghhHB6UrAIIYQQwulJwSKEEEIIpycFixBCCCGcnhQsQgghhHB6UrAIIYQQwumZ9A7QEJRSAOTl5emcRAghhBC1deF7+8L3+KW0iIIlPz8fgPDwcJ2TCCGEEKKu8vPz8fb2vuQ6mqpNWePk7HY7Z8+exdPTE03TGuU98vLyCA8P59SpU3h5eTXKezQncj6qkvNRlZyPquR8VCXno6rWfD6UUuTn5xMWFobBcOleKi2ihcVgMNC2bdsmeS8vL69W9wN1KXI+qpLzUZWcj6rkfFQl56Oq1no+LteycoF0uhVCCCGE05OCRQghhBBOTwqWWrJYLDz11FNYLBa9ozgFOR9VyfmoSs5HVXI+qpLzUZWcj9ppEZ1uhRBCCNGySQuLEEIIIZyeFCxCCCGEcHpSsAghhBDC6UnBIoQQQginJwVLLRw+fJjJkycTEBCAl5cXV199NevXr3e8/tNPP3H77bcTHh6O1WolKiqKV199VcfEjety5wNg5syZ9O/fH4vFQt++ffUJ2kRqcz5OnjzJhAkTcHNzIygoiD//+c9UVFTolLjxxMfHo2lajY/t27c71vvss8/o27cvbm5utG/fnldeeUXH1I2ntucjLi6OwYMH4+npSWBgIDfddBPHjx/XL3gjqc35ePrpp2t83d3dXef0Da+2Px9KKf7+97/TpUsXLBYLbdq04YUXXtAxuU6UuKzOnTur6667Tv3000/q8OHD6qGHHlJubm4qJSVFKaXUO++8o2bOnKni4+PV0aNH1X/+8x9ltVrV66+/rnPyxnG586GUUn/4wx/UP//5T3XXXXepPn366Be2CVzufFRUVKiePXuq0aNHq127dqlvvvlGBQQEqLlz5+qcvOGVlpaqlJSUKo/p06eriIgIZbfblVJKffPNN8pkMqlFixapo0ePqq+//lqFhoa2yP8vtTkfx44dUxaLRc2dO1clJSWpHTt2qGuvvVZFR0frnL7h1eZ85OfnV1une/fuaurUqfqGbwS1OR9KVX6edu3aVX355Zfq2LFjKiEhQX377bc6JteHFCyXkZ6ergC1ceNGx7K8vDwFqDVr1lx0u4ceekiNGDGiKSI2qbqej6eeeqpFFyy1OR/ffPONMhgMKjU11bHOokWLlJeXlyotLW3yzE2prKxMBQYGqmeffdax7Pbbb1c333xzlfVee+011bZt2yof0i1RTefj888/VyaTSdlsNseyFStWKE3TVFlZmR4xm0xN5+PXEhMTq/0fa6lqOh/79+9XJpNJHTx4UMdkzkEuCV2Gv78/Xbt25f3336ewsJCKigrefPNNgoKC6N+//0W3y83Nxc/PrwmTNo36no+WqjbnY/PmzfTq1Yvg4GDHduPGjSMvL499+/bpFb1JrFixgszMTO655x7HstLSUlxdXausZ7VaOX36NCdOnGjqiE2qpvPRv39/DAYDS5cuxWazkZuby3/+8x9Gjx6N2WzWMW3jq+l8/NqSJUvo0qUL11xzTRMm00dN5+Orr76iY8eOfP3110RERNChQwemT59OVlaWjkl1onfF1BycOnVK9e/fX2mapoxGowoNDVU7d+686Po//PCDMplMKi4urglTNp26nI+W3sKi1OXPx4wZM9TYsWOrbFNYWKgA9c033zR13CYVGxurYmNjqyx78803lZubm1q7dq2y2Wzq0KFDqlu3bgpQP/74o05Jm0ZN50MppeLj41VQUJAyGo0KUDExMSo7O7vpAzaxi52PC4qLi5Wvr696+eWXmzCVfmo6H/fff7+yWCxq0KBBauPGjWr9+vWqb9++LbIF/3JabQvLY489dtHOThceBw8eRCnF73//e4KCgvj+++/Ztm0b119/PZMmTSIlJaXafvfu3cvkyZN56qmnGDt2rA5HVj+NdT6aKzkfVdX2fPzS6dOniYuL4957762yfMaMGTz88MNMnDgRFxcXBg8ezG233QZw2enlnUVDno/U1FRmzJjB1KlT2b59Oxs2bMDFxYWbb74Z1UwGIm/I8/FLy5YtIz8/n6lTpzb2ITSohjwfdrud0tJS3n//fa655hqGDx/OO++8w/r16zl06FBTHpbuWu3Q/Onp6WRmZl5ynY4dO/L9998zduxYsrOzq0z73blzZ+69914ee+wxx7L9+/czYsQIpk+f3ux6cDfG+YDKHv/Lly8nMTGxMWI3moY8H08++SQrVqyocg6Sk5Pp2LEjO3fuJDo6urEOo8HU9ny4uLg4nj/33HO8/vrrnDlzpsZLGzabjdTUVAIDA1m3bh3XXXcdaWlpBAYGNnj+htaQ5+Ovf/0rq1evrnJXyOnTpwkPD2fz5s0MHjy44Q+ggTXGzwfAqFGj8PLyYtmyZQ2at7E15Pl46qmnmDdvHuXl5Y5lxcXFuLm58e233zJmzJiGPwAnZdI7gF4CAwNr9cFYVFQEVP/Nz2AwYLfbHc/37dvHyJEjmTp1arMrVqDhz0dz15DnIyYmhhdeeIG0tDSCgoIAWLNmDV5eXnTv3r2BkzeO2p6PC5RSLF26lClTplz0y8hoNNKmTRsAPv74Y2JiYppFsQINez6Kioqq/fwYjUaAZvN/qjF+PpKTk1m/fj0rVqxoqJhNpiHPx9ChQ6moqODo0aN06tQJqBxKAaB9+/YNF7o50OtaVHORnp6u/P391Y033qgSExPVoUOH1J/+9CdlNptVYmKiUkqpPXv2qMDAQHXnnXdWuT0tLS1N5/QNrzbnQymljhw5onbt2qXuv/9+1aVLF7Vr1y61a9euFndXTG3Ox4XbmseOHasSExPV6tWrVWBgYIu8rfmCtWvXKkAdOHCg2mvp6elq0aJF6sCBA2rXrl1q5syZytXVVW3dulWHpE3jUudj3bp1StM09cwzz6jDhw+rHTt2qHHjxqn27duroqIiHdI2vkudjwueeOIJFRYWpioqKpowmT4udT5sNpvq16+fuvbaa9XOnTtVQkKCGjRokBozZowOSfUlBUstbN++XY0dO1b5+fkpT09PNXjw4CqdJZ966ikFVHu0b99ev9CN6HLnQymlhg0bVuM5SU5O1id0I6rN+Th+/LiKjY1VVqtVBQQEqD/+8Y+qvLxcp8SN7/bbb1dDhgyp8bX09HQ1ePBg5e7urtzc3NSoUaPUli1bmjhh07rU+VBKqY8//lhFR0crd3d3FRgYqH7zm99c8su8ubvc+bDZbKpt27bq8ccfb8JU+rnc+Thz5oy68cYblYeHhwoODlZ33323yszMbMKEzqHV9mERQgghRPPRPLrkCyGEEKJVk4JFCCGEEE5PChYhhBBCOD0pWIQQQgjh9KRgEUIIIYTTk4JFCCGEEE5PChYhhBBCOD0pWIQQQgjh9KRgEUIIIYTTk4JFCCGEEE5PChYhhBBCOD0pWIQQQgjh9P4f0w6HgfWDJxkAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "underused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"overused units\")\n",
    "maxPlot = 1.06\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > maxPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"underused units\")\n",
    "minPlot = 0.94\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < minPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa912158-e8e9-46f3-8c3d-f6b17c26e62c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Note - for MA, above is second run-through after overuse, then underuse pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "id": "0d4f1372-6044-4803-91d9-de4b95a40083",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00131 1.001 and their SDs are 0.09076 0.03981\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 2666\n",
      "working on HD 300 out of 2666\n",
      "working on HD 600 out of 2666\n",
      "working on HD 900 out of 2666\n",
      "working on HD 1200 out of 2666\n",
      "working on HD 1500 out of 2666\n",
      "working on HD 1800 out of 2666\n",
      "working on HD 2100 out of 2666\n",
      "all done checking HD and complement contiguity for all 2666 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "for t in popHDlist:\n",
    "    if t%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "id": "ac9cd133-94f0-494b-ac74-0c584482d97e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"fullyPatched.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "26b87c95-101f-4f8f-bb73-feb1827ac6b5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    }
   ],
   "source": [
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))\n",
    "if noFrag == 1:\n",
    "    nFragmentedVTDs,fragmentedVTDs = 0, list()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "id": "ec102553-e4f3-4010-86bc-725a01b95788",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter([v for v in range(len(parentVTDno))],parentVTDno)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "id": "55d64c64-b473-49d0-b863-d4123cbb9b6c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "for v in range(nVTDs):\n",
    "    if MAP.contains(vtdGeom[v].centroid) and v not in parentVTDno:\n",
    "        print(\"Uhoh,\",v,\"is in the map but not in the parent vtd list\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "id": "ecd50c96-51ce-4d83-b0df-e8c645c35815",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "after above patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on full or partial VTD master list for unit 0\n",
      "working on full or partial VTD master list for unit 2000\n",
      "Now converting unit lists to vtd lists for all HDs\n"
     ]
    }
   ],
   "source": [
    "#THIS WORKS FOR BOTH VTD- AND UNIT-BASED (FRAG VTD) -- **NOTE: DOES NOT ADD IN CUT DISTRICTS AND REBALANCE WEIGHTS\n",
    "print(\"after above patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))  #for simple states where units are at least whole vtd's\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist, unitFragVTDlist, unitVTDfrac = [list() for u in range(nUnits)], [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "unitFullVTDlist, unitPartialVTDlist =       [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "\n",
    "for u in range(nUnits):\n",
    "    if u %2000 == 0:\n",
    "        print(\"working on full or partial VTD master list for unit\",u)\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "        unitFullVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "            unitFullVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        if noFrag == 1:\n",
    "            unitVTDlist[u].append(allUnits[u] )\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitVTDlist[u].append(surroundedVTDs[i])\n",
    "        else:\n",
    "            unitFragVTDlist[u].append(allUnits[u])\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitFragVTDlist[u].append(surroundedVTDs[i])\n",
    "            vtdFrac = [0. for V in range(nVTDs)]\n",
    "            for vv in unitFragVTDlist[u]:\n",
    "                V = parentVTDno[vv]\n",
    "                if len(VTDchildren[V]) == 1:  #nonfragmented vtd\n",
    "                    vtdFrac[V] = 1.\n",
    "                else:\n",
    "                    if tractPop[V] > 0:\n",
    "                        vtdFrac[V] += fragVTDgeom[vv].area / vtdGeom[V].area #fragVTDpop[uu] / tractPop[v]  #we overwrote the frag pops earlier; can't use\n",
    "            for v in range(nVTDs):\n",
    "                if vtdFrac[v] > 0.0001:\n",
    "                    if vtdFrac[v] > 0.999:\n",
    "                        unitFullVTDlist[u].append(v)\n",
    "                    else:\n",
    "                        unitPartialVTDlist[u].append(v)\n",
    "                        unitVTDfrac[u].append(vtdFrac[v] )\n",
    "                                    \n",
    "HDpartialVTDlist, HDfullVTDlist, HDvtdFrac = [list() for t in range(nHDs)] ,[list() for t in range(nHDs)],[list() for t in range(nHDs)]               \n",
    "print(\"Now converting unit lists to vtd lists for all HDs\")\n",
    "if noFrag == 1:\n",
    "    for t in popHDlist:\n",
    "        for u in HDunitList[t]:\n",
    "            vtdList[t] += unitVTDlist[u]\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "else:\n",
    "    for t in popHDlist:\n",
    "        partialList, partialFrac = list(), list()  #for many HDs, we'll recover whole VTDs when aggregating units\n",
    "        for u in HDunitList[t]:\n",
    "            HDfullVTDlist[t] +=   unitFullVTDlist[u] \n",
    "            partialList +=         unitPartialVTDlist[u]\n",
    "            partialFrac +=          unitVTDfrac[u]\n",
    "        partialSet = set(partialList)  #non-duplicated set of partials across the HD, prepping to aggregate where possible\n",
    "        partialSetFrac, partialSetList = [0. for v in partialSet], list(partialSet)\n",
    "        for i,v in enumerate(partialList):\n",
    "            partialSetFrac[partialSetList.index(v)] += partialFrac[i]\n",
    "        for i,v in enumerate(partialSetList):\n",
    "            if partialSetFrac[i] > 0.999:  #the district has all the fragments of the original VTD contained in the HD's units\n",
    "                HDfullVTDlist[t].append(v)\n",
    "            else:\n",
    "                HDpartialVTDlist[t].append(v)\n",
    "                HDvtdFrac[t].append(      r5(partialSetFrac[i]) )  #save the aggregated fraction of this VTD across all units\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"patchedVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "id": "5075814f-4a75-4807-ad8d-b3cc969cb470",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2666 2666 2666 2666 2666 2666\n"
     ]
    }
   ],
   "source": [
    "\n",
    "HDweight = HDweight[0:nHDs]\n",
    "HDvPop = HDvPop[0:nHDs]\n",
    "HDweight = HDweight[0:nHDs]\n",
    "HDfullVTDlist = HDfullVTDlist[0:nHDs]\n",
    "HDpartialVTDlist = HDpartialVTDlist[0:nHDs]\n",
    "HDvtdFrac = HDvtdFrac[0:nHDs]\n",
    "hdCPx, hdCPy = hdCPx[0:nHDs], hdCPy[0:nHDs]\n",
    "print(nHDs,len(tList), len(HDweight), len(HDvPop), len(HDvtdFrac), len(hdCPx) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "id": "e385f357-5b7e-46f5-b054-c5c38d799395",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0 2666\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(HDweight), nHDs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "id": "8d922813-2854-41d7-9405-22db5d5d5a59",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now append the cut districts and adjust the HDweights\n",
      "13 1 are the number of HD-drawn and cut districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Now append the cut districts and adjust the HDweights\")\n",
    "print(nDistricts,nCutDistricts,\"are the number of HD-drawn and cut districts\")\n",
    "HDweight = [nDistricts/float(nCutDistricts + nDistricts) * HDweight[t] for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "if type(hdCPx) != type(list()):\n",
    "    hdCPx, hdCPy = hdCPx.to_list(), hdCPy.to_list()\n",
    "for L in allCutLists:\n",
    "    tList.append(len(tList))\n",
    "    HDweight.append(1./(nCutDistricts + nDistricts))\n",
    "    pop = np.sum([tractPop[v] for v in L])\n",
    "    HDvPop.append(pop )\n",
    "    HDfullVTDlist.append(L)\n",
    "    HDpartialVTDlist.append(list() )\n",
    "    HDvtdFrac.append(list() )\n",
    "    hdCPx.append(np.sum([tractPop[v]*tractCPx[v] for v in L]) / pop )\n",
    "    hdCPy.append(np.sum([tractPop[v]*tractCPy[v] for v in L]) / pop )\n",
    "    \n",
    "\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                        \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"patchedWithCutsVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "id": "b0b611f7-6c35-495d-b38c-c848317d63ab",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(HDweight))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "id": "b9d808de-119f-4197-8e0c-8407c105d789",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vtdUSE = [0. for v in range(nVTDs)]\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        vtdUSE[v] += 1\n",
    "    for i,v in enumerate(unitPartialVTDlist[u]):\n",
    "        vtdUSE[v] += unitVTDfrac[u][i]\n",
    "\n",
    "plt.scatter([v for v in range(nVTDs)], vtdUSE)\n",
    "plt.show()\n",
    "unused = list()\n",
    "for v in range(nVTDs):\n",
    "    if vtdUSE[v] < 0.2 and MAP.contains(vtdGeom[v].centroid) and tractPop[v] > 0:\n",
    "        unused.append(v)\n",
    "        #print(v,\"in county\",countyNo[v],\"has pop\",tractPop[v],\"and map-total usage of\",vtdUSE[v],\"its surroundedness is\",v in surroundedVTDs)\n",
    "        plotPoly(vtdGeom[v].centroid.buffer(0.1))\n",
    "        plotCenter(v,vtdGeom[v],8)\n",
    "    #if vtdUSE[v] > 0.2 and vtdUSE[v] < 0.95:\n",
    "    #    plotCenter(r3(vtdUSE[v]),vtdGeom[v])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "id": "3d2a393c-5ab8-4140-80eb-1153c2ef41f9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in range(nUnits):\n",
    "    if unitUse[u]  < 0.9:\n",
    "        plotPoly(unitGeom[u],0.2)\n",
    "        plotCenter(r3(unitUse[u]),unitGeom[u],6)\n",
    "    if  unitUse[u]  > 1.1:\n",
    "        plotPoly(unitGeom[u],1.2)\n",
    "        plotCenter(r3(unitUse[u]),unitGeom[u],6)\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "id": "404935e6-f0de-4b51-9db9-020aa208f852",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "integrity check: vtd-based pops\n",
      "x = n surrounded, y= unit - vtd-based\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"integrity check: vtd-based pops\")\n",
    "HDvtdbasedPop = [0. for t in range(nHDs)]\n",
    "HDvPop = [0. for t in range(nHDs)]\n",
    "nSurrs = [0. for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "        if u in surroundedVTDs:\n",
    "            nSurrs[t] += 1\n",
    "    for v in HDfullVTDlist[t]:\n",
    "        HDvtdbasedPop[t] += origVTDpop[v] #tractPop[v]\n",
    "    for i,v in enumerate(HDpartialVTDlist[t]):\n",
    "        HDvtdbasedPop[t] += HDvtdFrac[t][i] * origVTDpop[v] #tractPop[v] also works\n",
    "        \n",
    "plt.scatter([nSurrs[t] for t in popHDlist], [HDvPop[t] - HDvtdbasedPop[t] for t in popHDlist] )\n",
    "print(\"x = n surrounded, y= unit - vtd-based\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef27af54-daf5-4e8f-9230-bce5b0b1e705",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "id": "3ad3342b-b8e3-46f5-a3e5-f49df386b88f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\n",
      "Let's read in the 2020 and 2016 voting data for NC\n",
      "In year/election 2020 Dem and GOP total votes were 2684276 2758734 for a stateGOP of 0.50684\n",
      "There are a total of 2666  vote-mapped voting districts from election(s) in year  2020\n",
      "In year/election 2016 Dem and GOP total votes were 2189306 2362597 for a stateGOP of 0.51903\n",
      "There are a total of 2666  vote-mapped voting districts from election(s) in year  2016\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\")\n",
    "#note: we started w possibility of separate election --> 2020 vtd files by year.  Now we use ALARM combined 2016+2020 --> 2020 csv's for all exc CA\n",
    "# copied from \"HDpartisanAnalysis\"\n",
    "print(\"Let's read in the 2020 and 2016 voting data for\",STATE)\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G16PREDCLI\"], [\"G16PRERTRU\" ], list()\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G20PREDBID\", \"G16PREDCli\"], [\"G20PRERTRU\" ,\"G16PRERTru\" ], list()\n",
    "DemCandidates, RepCandidates, vestDFs = [\"pre_20_dem_bid\", \"pre_16_dem_cli\"], [\"pre_20_rep_tru\" ,\"pre_16_rep_tru\" ], list()\n",
    "nYears = 2\n",
    "unitIDs, vestReps,vestDems,yearLean = [list()]*nYears, [0]*nYears, [0]*nYears, [0.5]*nYears\n",
    "years = [str(2020),str(2016)]\n",
    "DemVotes, RepVotes = [list() for y in years], [list() for y in years]\n",
    "vestDir = \"./state_map_files/\" + STATE.lower()\n",
    "vestDF = pd.read_csv(vestDir + \"_2020_vtd.csv\")\n",
    "mergedDF = vestDF.copy() #pd.merge(mergedDF,vestDF, on = \"GEOID20\")\n",
    "for y,year in enumerate(years):\n",
    "    DemVotes[y], RepVotes[y], unitIDs[y] = mergedDF[DemCandidates[y]], mergedDF[RepCandidates[y]], vestDF[(\"GEOID20\")]\n",
    "    vestDems[y], vestReps[y] = np.sum(DemVotes[y]), np.sum(RepVotes[y])\n",
    "    yearLean[y] = vestReps[y]/float(vestDems[y]+vestReps[y])\n",
    "    print(\"In year/election\",year,\"Dem and GOP total votes were\",int(vestDems[y]),int(vestReps[y]),\"for a stateGOP of\",r5(yearLean[y]) )\n",
    "    nVTDs = len(DemVotes[y])\n",
    "    print(\"There are a total of\",nVTDs,\" vote-mapped voting districts from election(s) in year \",years[y])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f628069d-4177-401e-bf49-b7f194d0ef8b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "id": "5cf73783-4a48-4a3f-a2e3-c1b9ff32c859",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now let's read in our ensemble of HD districts for NC\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the filename with the vtd assignments to districts; e.g. MO1654contigPatchBoth.csv NC2666patchedWithCutsVTDs.csv\n",
      "enter the number of HD-drawn districts in the state; e.g. 8 14\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This ensemble or enacted map describes 2667 drawn districts.  This state has 14 districts per map\n",
      "converting vtd list strings to vtd lists by drawn district ...\n",
      "the total weight across all rows should be 1.000, actually is 1.0\n",
      "I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\n",
      "translating from HD order of precinct rows to VEST order\n"
     ]
    }
   ],
   "source": [
    "print(\"Now let's read in our ensemble of HD districts for\",STATE)\n",
    "infilename = input(\"enter the filename with the vtd assignments to districts; e.g. NC2666patchedWithCutsVTDs\")\n",
    "\n",
    "HDdf = pd.read_csv(\"2024state_HD_output/\"+infilename)\n",
    "nRows = len(HDdf)\n",
    "nStateDistricts = int(input(\"enter the number of HD-drawn districts in the state; e.g. 8\"))\n",
    "print(\"This ensemble or enacted map describes\",nRows,\"drawn districts.  This state has\",nStateDistricts,\"districts per map\")\n",
    "\n",
    "HDvPop = HDdf[\"HDvPop\"].to_list()\n",
    "HDweight = HDdf['HDweight'].to_list()\n",
    "#tractPop = HDdf['tractPop'].to_list()\n",
    "#statePop = np.sum(tractPop)\n",
    "tractCPx = HDdf['centroid x'].to_list()\n",
    "tractCPy = HDdf['centroid y'].to_list()\n",
    "HDvtdListString = HDdf[\"HDvtdList\"]\n",
    "print(\"converting vtd list strings to vtd lists by drawn district ...\")\n",
    "HDvtdList = [list() for t in range(nRows) ]\n",
    "for t in range(nRows):\n",
    "    if HDvtdListString[t] != \"[]\":\n",
    "        HDvtdList[t] = ast.literal_eval(HDvtdListString[t])\n",
    "\n",
    "if \"partials\" in HDdf.columns.values: #\"splitTractNo\" #.to_list():\n",
    "    splitTractList, splitTractUseList = HDdf['partials'], HDdf['HDvtdFrac']\n",
    "    splitTractNo = [ast.literal_eval(splitTractList[t])    for t in range(nRows)]\n",
    "    splitTractUse = [ast.literal_eval(splitTractUseList[t]) for t in range(nRows)]\n",
    "else :  #incoming file didn't use any partial units, only whole ones\n",
    "    splitTractNo, splitTractUse = [[] for t in range(nRows)] , [ [] for t in range(nRows)]\n",
    "\n",
    "print(\"the total weight across all rows should be 1.000, actually is\",r5(np.sum(HDweight)) )\n",
    "print(\"I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\")\n",
    "censusGEOID20 = tractPopFile['GEOID20']\n",
    "miniHDdf = pd.DataFrame( {\"GEOID20\":censusGEOID20} )\n",
    "vestNo = [v for v in range(nVTDs)]\n",
    "print(\"translating from HD order of precinct rows to VEST order\")\n",
    "miniVestDF = pd.DataFrame( {\"GEOID20\":mergedDF['GEOID20'], \"vestNo\":vestNo} )\n",
    "mappingDF = pd.merge(miniHDdf,miniVestDF,on=\"GEOID20\")\n",
    "vestID = mappingDF['vestNo']  #this maps each named unit in a HDVL to the correct vestNo row with voting data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9c38b293-7a46-4106-a972-b4868206bc2d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "id": "540c6d1d-7728-48bf-90f0-f124b25ac7c2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sanity check - Dem-leaning vtds for year 2020\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"sanity check - Dem-leaning vtds for year\",years[0])  #for MA, do GOP-leaning\n",
    "for v in range(nVTDs):\n",
    "    plotPoly(vtdGeom[v],0.2)\n",
    "    if DemVotes[0][vestID[v]] > RepVotes[0][vestID[v]]:\n",
    "        plt.text(vtdGeom[v].centroid.x, vtdGeom[v].centroid.y, \"D\", color = \"blue\",fontsize=6)\n",
    "        #plotCenter(\"d\",vtdGeom[v],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "id": "56ed7e9d-1400-4848-892e-737555552d58",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\n",
      "working on drawn district no 0\n",
      "working on drawn district no 1000\n",
      "working on drawn district no 2000\n",
      "here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\n",
      "true 2020: 2684276 2758734 74458\n",
      "ensemble : 2688534 2756872 68337\n",
      "the true and ensemble state GOP leans are 0.50684 0.5062748099702323\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\")\n",
    "nDrawnDistricts = len(HDweight)  #now including cut districts\n",
    "nMapDistricts = nCutDistricts + nDistricts\n",
    "nEnsembleDems, nEnsembleReps = [0.]*nYears, [0.]*nYears\n",
    "y=0\n",
    "for t in range(nDrawnDistricts):\n",
    "    if t%1000 == 0:\n",
    "        print(\"working on drawn district no\",t)\n",
    "    nEnsembleDems[y] += nMapDistricts* HDweight[t] * ( np.sum([DemVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([DemVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "    nEnsembleReps[y] += nMapDistricts* HDweight[t] * ( np.sum([RepVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([RepVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "\n",
    "print(\"here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\")\n",
    "print(\"true 2020:\",int(vestDems[y]),int(vestReps[y]),              int(vestReps[y] - vestDems[y]) )\n",
    "print(\"ensemble :\",int(nEnsembleDems[y]),int(nEnsembleReps[y]),    int(nEnsembleReps[y] - nEnsembleDems[y]) )\n",
    "print(\"the true and ensemble state GOP leans are\",r5(vestReps[y]/(vestReps[y]+vestDems[y])),\n",
    "      nEnsembleReps[y]/(nEnsembleReps[y]+nEnsembleDems[y]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "5c607c63-df0d-4334-8131-368c090c76d2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total drawn districts, HD-drawn, map districts 2667 2666 14\n"
     ]
    }
   ],
   "source": [
    "print(\"total drawn districts, HD-drawn, map districts\",nDrawnDistricts,nHDs, nMapDistricts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bb0d0d12-6bf4-4d5f-9236-fa8735393e98",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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